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Python Machine Learning by Lilly Trinity

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1Practical Machine Learning By Example In Python

Practical Machine Learning By Example In Python

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  • Title: ➤  Practical Machine Learning By Example In Python

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2Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (30 - Eclat)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (30 - Eclat)

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3Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (46 - Annex Logistic Regression (Long Explanation))

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (46 - Annex Logistic Regression (Long Explanation))

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4Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (25 - Part 4 Clustering)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (25 - Part 4 Clustering)

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5NASA Technical Reports Server (NTRS) 20220003102: MLtool: Universal Supervised Machine Learning Tool To Model Tabulated Data MLtool Python Code

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Machine Learning (ML) is a subfield of Artificial Intelligence that gives computers the ability to learn from past data without being explicitly programmed. The predictive capabilities of ML models have already been used to facilitate several scientific breakthroughs. However, the practical application of ML is often limited due to the gaps in technical knowledge of its users. The common issue faced by many scientific researchers is the inability to choose the appropriate ML pipelines that are needed to treat real-world data, which is often sparse and noisy. To solve this problem, we have developed an automated Machine Learning tool (MLtool) that includes a set of ML algorithms and approaches to aid scientific researchers. The current version of MLtool is implemented as an object-oriented Python code that is easily extensible. It includes 44 different regression algorithms used to model data. MLtool helps users select the best model for their data, based on the scoring metrics used. Besides regression algorithms, MLtool also includes a suite of pre- and post-processing techniques such as missing value imputation, categorical variable encoding, input feature normalization, uncertainty quantification, exploratory data analysis (EDA), etc. MLtool was tested on several publicly available multi-dimensional data sets and was found capable of making accurate predictions.

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  • Title: ➤  NASA Technical Reports Server (NTRS) 20220003102: MLtool: Universal Supervised Machine Learning Tool To Model Tabulated Data MLtool Python Code
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  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 1.63 Mbs, the file-s for this book were downloaded 20 times, the file-s went public at Tue May 30 2023.

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6Python For Artificial Intelligence And Machine Learning

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Python has become the dominant programming language in the fields of Artificial Intelligence AI and Machine Learning ML due to its user friendly nature, versatility, and the vast array of libraries available to developers. This paper explores how Python facilitates the rapid development of AI and ML applications, particularly through popular frameworks such as TensorFlow, PyTorch, and Scikit learn. Additionally, a case study on image classification using Convolutional Neural Networks CNNs demonstrates Pythons practical applications in real world scenarios. The comparative analysis presented in this paper emphasizes Pythons effectiveness in fostering scalable and reproducible research in the field of AI. M. Yamuna "Python for Artificial Intelligence and Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-3 , June 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79847.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/79847/python-for-artificial-intelligence-and-machine-learning/m-yamuna

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The book is available for download in "texts" format, the size of the file-s is: 2.18 Mbs, the file-s for this book were downloaded 6 times, the file-s went public at Tue Jul 22 2025.

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7Machine Learning De A A La Z - R Y Python Para Data Science (2020)(Udemy)

Machine Learning de A a la Z - R y Python para Data Science (2020)(Udemy)

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The book is available for download in "texts" format, the size of the file-s is: 30188.25 Mbs, the file-s for this book were downloaded 2036 times, the file-s went public at Tue Jun 15 2021.

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8Imbalanced-learn: A Python Toolbox To Tackle The Curse Of Imbalanced Datasets In Machine Learning

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Imbalanced-learn is an open-source python toolbox aiming at providing a wide range of methods to cope with the problem of imbalanced dataset frequently encountered in machine learning and pattern recognition. The implemented state-of-the-art methods can be categorized into 4 groups: (i) under-sampling, (ii) over-sampling, (iii) combination of over- and under-sampling, and (iv) ensemble learning methods. The proposed toolbox only depends on numpy, scipy, and scikit-learn and is distributed under MIT license. Furthermore, it is fully compatible with scikit-learn and is part of the scikit-learn-contrib supported project. Documentation, unit tests as well as integration tests are provided to ease usage and contribution. The toolbox is publicly available in GitHub: https://github.com/scikit-learn-contrib/imbalanced-learn.

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The book is available for download in "texts" format, the size of the file-s is: 0.13 Mbs, the file-s for this book were downloaded 45 times, the file-s went public at Fri Jun 29 2018.

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9Mlpy: Machine Learning Python

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mlpy is a Python Open Source Machine Learning library built on top of NumPy/SciPy and the GNU Scientific Libraries. mlpy provides a wide range of state-of-the-art machine learning methods for supervised and unsupervised problems and it is aimed at finding a reasonable compromise among modularity, maintainability, reproducibility, usability and efficiency. mlpy is multiplatform, it works with Python 2 and 3 and it is distributed under GPL3 at the website http://mlpy.fbk.eu.

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The book is available for download in "texts" format, the size of the file-s is: 2.67 Mbs, the file-s for this book were downloaded 989 times, the file-s went public at Mon Sep 23 2013.

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10Python Machine Learning Tutorial (Data Science)

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mlpy is a Python Open Source Machine Learning library built on top of NumPy/SciPy and the GNU Scientific Libraries. mlpy provides a wide range of state-of-the-art machine learning methods for supervised and unsupervised problems and it is aimed at finding a reasonable compromise among modularity, maintainability, reproducibility, usability and efficiency. mlpy is multiplatform, it works with Python 2 and 3 and it is distributed under GPL3 at the website http://mlpy.fbk.eu.

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The book is available for download in "movies" format, the size of the file-s is: 519.75 Mbs, the file-s for this book were downloaded 219 times, the file-s went public at Fri Apr 05 2024.

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11Thoughtful Machine Learning With Python : A Test-driven Approach

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mlpy is a Python Open Source Machine Learning library built on top of NumPy/SciPy and the GNU Scientific Libraries. mlpy provides a wide range of state-of-the-art machine learning methods for supervised and unsupervised problems and it is aimed at finding a reasonable compromise among modularity, maintainability, reproducibility, usability and efficiency. mlpy is multiplatform, it works with Python 2 and 3 and it is distributed under GPL3 at the website http://mlpy.fbk.eu.

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  • Title: ➤  Thoughtful Machine Learning With Python : A Test-driven Approach
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The book is available for download in "texts" format, the size of the file-s is: 531.71 Mbs, the file-s for this book were downloaded 118 times, the file-s went public at Sat May 14 2022.

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12Python Machine Learning From Scratch : Machine Learning Concepts And Applications For Beginners

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130 pages : 23 cm

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  • Title: ➤  Python Machine Learning From Scratch : Machine Learning Concepts And Applications For Beginners
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The book is available for download in "texts" format, the size of the file-s is: 309.76 Mbs, the file-s for this book were downloaded 294 times, the file-s went public at Tue Aug 16 2022.

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13Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines

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random2, 'Andrew Park - Data Science for Beginners_ 4 Books in 1_ Python Programming, Data Analysis, Machine Learning. A Complete Overview to Master The Art of Data Science From Scratch Using Python for Busines'

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14Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (33 - Thompson Sampling)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (33 - Thompson Sampling)

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15[EuroPython 2020] V. Fedotova/F. Schlimbach - The Painless Route In Python To Fast And Scalable Machine Learning

Python is the lingua franca for data analytics and machine learning. Its superior productivity makes it the preferred tool for prototyping. However, traditional Python packages are not necessarily designed to provide high performance and scalability for large datasets. From this talk you will learn how to get close-to-native performance with Intel-optimized packages, such as numpy, scipy, and scikit-learn. The next part of the talk is focused on getting high performance and scalability from multi-cores on a single machine to large clusters of workstations. It will be demonstrated that with Python it is possible to achieve the same performance and scalability as with hand-tuned C++/MPI code: - Scalable Dataframe Compiler (SDC) makes possible to efficiently load and process huge datasets using pandas/Python. - A convenient Python API to data analytics and machine learning primitives (daal4py). While its interface is scikit-learn-like, its MPI-based engine allows to scale machine learning algorithms to bare-metal cluster performance. - From the talk you will learn how to use SDC and daal4py together to build an end-to-end analytics pipeline that scales to clusters, requiring only minimal code changes. Please see our speaker release agreement for details: https://ep2020.europython.eu/events/speaker-release-agreement/

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16289+ Machine Learning Projects With Python Code

289+ Machine Learning Projects With Python Code

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  • Title: ➤  289+ Machine Learning Projects With Python Code
  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 5.29 Mbs, the file-s for this book were downloaded 195 times, the file-s went public at Sat Mar 25 2023.

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17Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines

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The book is available for download in "texts" format, the size of the file-s is: 228.68 Mbs, the file-s for this book were downloaded 91 times, the file-s went public at Tue May 07 2024.

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18Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (40 - Linear Discriminant Analysis (LDA))

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (40 - Linear Discriminant Analysis (LDA))

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19Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (13 - Regression Model Selection In Python)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (13 - Regression Model Selection in Python)

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20Python-Powered Machine Learning In The Cloud

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (13 - Regression Model Selection in Python)

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  • Title: ➤  Python-Powered Machine Learning In The Cloud

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The book is available for download in "movies" format, the size of the file-s is: 276.50 Mbs, the file-s for this book were downloaded 99 times, the file-s went public at Fri Sep 23 2016.

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21Supervised Machine Learning With Python

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Supervised Machine Learning with Python. Classification: Support Vector Machines

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The book is available for download in "texts" format, the size of the file-s is: 1.51 Mbs, the file-s for this book were downloaded 89 times, the file-s went public at Mon Mar 11 2024.

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22Python Environment For Bayesian Learning: Inferring The Structure Of Bayesian Networks From Knowledge And Data(Machine Learning Open Source Software Paper)

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Supervised Machine Learning with Python. Classification: Support Vector Machines

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The book is available for download in "data" format, the size of the file-s is: 0.02 Mbs, the file-s for this book were downloaded 35 times, the file-s went public at Tue Aug 11 2020.

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23Scikit-learn: Machine Learning In Python

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Supervised Machine Learning with Python. Classification: Support Vector Machines

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  • Title: ➤  Scikit-learn: Machine Learning In Python
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The book is available for download in "data" format, the size of the file-s is: 0.02 Mbs, the file-s for this book were downloaded 48 times, the file-s went public at Tue Aug 11 2020.

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24Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (44 - XGBoost)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (44 - XGBoost)

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25[EuroPython 2019] Thomas Kluiters - Securely Executing Python Machine Learning Models With Distroless Images At ING

Executing machine learning models in a production environment can be tricky, especially at a major bank where compliance and risk are carefully taken into account. In this talk I explain how, we, at ING (a large bank operating on global scale), execute our Python models in a production environment by building minimal Docker images for python versions. I will first talk about the possible security risks of running any docker container in a production environment. Then I will talk about ways in which we can make Docker containers more secure by building minimal docker images for Python. Finally I will explain how these docker images are used in practice to serve machine learning models at ING. Prerequisites: - Some basic knowledge of Docker can be helpful - Some basic understanding of security can be helpful Goals: - Understand the security risks of running docker containers - Know how to make docker images more secure - How to build secure model serving docker images Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

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26Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (24 - Evaluating Classification Models Performance)

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27Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (35 - Part 8 Deep Learning)

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28Thursday - 203 - 5 - Python For Brain Mining: (Neuro)science With State Of The Art Machine Learning And Data Visualization

Python for Brain Mining: (Neuro)science with State of the Art Machine Learning and Data Visualization Gael Varoquaux If you have questions, email [email protected]

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29Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (26 - K-Means Clustering)

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30Python Machine Learning

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315.Python Complete Bootcamp With 25+ Projects Data Analytics_Machine Learning_AI

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32Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines

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33Top 10 Python Libraries For Machine Learning

Want to master Machine Learning in Python? In this video, we break down the Top 10 Python Libraries every ML & AI practitioner should know! These libraries are essential for data preprocessing, model building, deep learning, and performance optimization. 🔹 Scikit-Learn – The go-to library for ML models 🤖 🔹 TensorFlow & PyTorch – Powering Deep Learning & Neural Networks 🔥 🔹 XGBoost & LightGBM – Boosting algorithms for high-performance ML 📈 🔹 Pandas & NumPy – Data manipulation & numerical computing 📊 🔹 Matplotlib & Seaborn – Data visualization & insights 📉 🔹 NLTK & SpaCy – NLP & text analytics 📝 ✅ Want to become a Data Science Expert? Explore the best Data Science Certification Course in Delhi and take your ML skills to the next level! For more information visit our website: https://bostoninstituteofanalytics.org/india/delhi/connaught-place/school-of-technology-ai/data-science-and-artificial-intelligence/

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34X34X-PPEB: Scikit-learn: Machine Learning In Python — Scikit…

Perma.cc archive of https://scikit-learn.org/stable/ created on 2022-07-01 10:56:58.596768+00:00.

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35[EuroPython 2016] Javier Arias Losada - Machine Learning For Dummies With Python

Javier Arias Losada - Machine Learning for dummies with Python [EuroPython 2016] [18 July 2016 / 2016-07-18] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/machine-learning-for-dummies-with-python) Machine Learning is the next big thing. If you are a dummy in terms of Machine Learning, but want to get started with it... there are options. Still, thanks to the Web, Python and OpenSource libraries, we can overcome this situation and do some interesting stuff with Machine Learning. ----- Have you heard that Machine Learning is the next big thing? Are you a dummy in terms of Machine Learning, and think that is a topic for mathematicians with black-magic skills? If your response to both questions is 'Yes', we are in the same position. Still, thanks to the Web, Python and OpenSource libraries, we can overcome this situation and do some interesting stuff with Machine Learning.

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36Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (07 - Multiple Linear Regression)

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37Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (20 - Naive Bayes)

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38Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (28 - Part 5 Association Rule Learning)

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39Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (12 - Evaluating Regression Models Performance)

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40Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (38 - Part 9 Dimensionality Reduction)

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41Introduction To Machine Learning With Python ( PDFDrive.com )

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42Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (08 - Polynomial Regression)

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43Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (22 - Random Forest Classification)

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44Machine Learning With Pytorch And Scikit-Learn: Develop Machine Learning And Deep Learning Models With Python

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Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (22 - Random Forest Classification)

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45Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines

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46PYTHON NUMPY Machine Learning (10/30)

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Cette Formation Python Numpy est un tutoriel français spécial machine learning: Numpy est le package python le plus important pour faire du machine learning et du data science. Numpy comprend le tableau array dit ndarray (n dimensions) qui est un objet extrêmement puissant en machine learning et data science. Numpy propose beaucoup de méthode pour le ndarray, dans cette vidéo nous voyons les différents constructeurs qui permettent d'initialiser les tableau ndarray: np.array() np.zeros() np.ones() np.full() np.random.randn() les deux attributs les plus importants à retenir sont : shape size pour développer des programmes puissants, pensez à définir le type de valeur dans le np.array() avec dtype = np.int16, np.float64 Nous voyons aussi les méthodes les plus utiles pour manipuler la forme de nos tableau numpy: np.vstack np.hstack np.concatenate np.reshape np.squeeze np.ravel Il n'y a rien de plus à retenir pour bien se lancer avec Numpy. Ignorez les autres attributs et méthodes pour le moment ! ► Timeline de la vidéo : 0:00 Intro 00:40 Le tableau Numpy, ses dimensions et sa shape 05:20 initialiser un ndarray: np.ones, np.zeros, 09:15 np.random.randn 12:04 np.linspace, np.arange 13:24 dtype=np.float16 np.float64 15:43 Assembler des tableaux: vstack hstack concatenate 18:40 np.reshape np.squeeze 22:10 np.ravel() 23:08 Exercice ► Soutenez-moi sur Tipeee pour du contenu BONUS: https://fr.tipeee.com/machine-learnia ► Documentation Numpy pour ndarray: https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.html ► Documentation Numpy pour np.random: https://docs.scipy.org/doc/numpy-1.16.0/reference/routines.random.html ► ARTICLE EN COMPLÉMENT DE CETTE VIDÉO: https://machinelearnia.com/ ► NOTRE COMMUNAUTÉ DISCORD https://discord.gg/WMvHpzu ► Recevez gratuitement mon Livre: APPRENDRE LE MACHINE LEARNING EN UNE SEMAINE CLIQUEZ ICI: https://machinelearnia.com/apprendre-le-machine-learning-en-une-semaine/ ► Télécharger gratuitement mes codes sur github: https://github.com/MachineLearnia ► Abonnez-vous : https://www.youtube.com/channel/UCmpptkXu8iIFe6kfDK5o7VQ ► Pour En Savoir plus : Visitez Machine Learnia : https://machinelearnia.com/ ► Qui suis-je ? Je m’appelle Guillaume Saint-Cirgue et je suis Data Scientist au Royaume Uni. Après avoir suivi un parcours classique maths sup maths spé et avoir intégré une bonne école d’ingénieur, je me suis tourné vers l’intelligence artificielle de ma propre initiative et j’ai commencé à apprendre tout seul le machine learning et le deep learning en suivant des formations payantes, en lisant des articles scientifiques, en suivant les cours du MIT et de Stanford et en passant des week end entier à développer mes propres codes. Aujourd’hui, je veux vous offrir ce que j’ai appris gratuitement car le monde a urgemment besoin de se former en Intelligence Artificielle. Que vous souhaitiez changer de vie, de carrière, ou bien développer vos compétences à résoudre des problèmes, ma chaîne vous y aidera. C’est votre tour de passer à l’action ! ► Une question ? Contactez-moi: [email protected]

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47Come Organizzare La Struttura Di Un Progetto Python O Machine Learning

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In questo video parleremo di un tema molto importante: come strutturare correttamente un progetto Python o Machine Learning.Strutturare correttamente un progetto Python serve prima di tutto a dare un senso a quello che state facendo e a rendere il codice immediatamente comprensibile, soprattutto a distanza di tempo, per poi stessi e anche per chi dovrà lavorare al vostro stesso progetto e quindi al vostro codice.Infatti, se avete del codice abbastanza \"incasinato\" e non strutturato correttamente, nel caso qualcuno (collaboratore, amico, conoscente, ecc.) dovesse aiutarvi nella ricerca di bugs o nell'implementazione di nuove funzionalità, dovrà prima di tutto capire come funziona il vostro programma, quali sono i flussi del software e come esso e organizzato. Risulterà quindi un'enorme perdita di tempo. Invece di concentrarvi nella vera risoluzione di un bug, dovrete prima di tutto cercare di capire come funziona il codice.Un progetto ben strutturato, e quindi anche un codice ben organizzato, vi consentirà un agevole refactor e un'agevole implementazione di nuove funzionalità.

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48Free Course Site.com Udemy Machine Learning A Z™ Hands On Python & R In Data Science

Course in Machine Learning and Data Science

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49Python Machine Learning Cookbook : 100 Recipes That Teach You How To Perform Various Machine Learning Tasks In The Real World

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Course in Machine Learning and Data Science

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50Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (43 - Model Selection)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (43 - Model Selection)

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