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I will do data science and machine learning with python


I will do data science and machine learning with python

Web Machine Learning, Data Science and Deep Learning with PythonComplete hands-on machine learning tutorial with data science, Tensorflow, artificial intelligence

Get I will do data science and machine learning with python

There are many resources available online to learn Python for data science and machine learning. Here are some of the best resources that you can use to learn Python:

  • Python for Data Science and Machine Learning Bootcamp on Udemy: This course covers all the essential topics of data science and machine learning with Python, including NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-learn, TensorFlow, Keras, and more! It is designed for both beginners with some programming experience and experienced developers looking to make the jump to data science.
  • Data Science A-Z™: Real-Life Data Science Exercises Included on Fiverr : This course covers all the essential topics of data science with Python, including data preprocessing, regression analysis, classification models, clustering analysis, natural language processing (NLP), deep learning with TensorFlow 2.0 and Keras, and more!
  • Python for Data Analysis by Wes McKinney: This book is a great resource for learning how to use Python for data analysis. It covers all the essential topics of data analysis with Python, including NumPy arrays, Pandas data frames, data cleaning and preparation, data visualization with Matplotlib and Seaborn, time series analysis, and more!
  • Python Machine Learning by Sebastian Raschka and Vahid Mirjalili: This book is a great resource for learning how to use Python for machine learning. It covers all the essential topics of machine learning with Python, including supervised learning algorithms (linear regression, logistic regression), unsupervised learning algorithms (clustering analysis), deep learning with TensorFlow 2.0 and Keras, and more!
  • Machine Learning by Andrew Ng on Coursera: This course is one of the most popular courses on machine learning available online. It covers all the essential topics of machine learning with Python and MATLAB/Octave.
  • Machine Learning Mastery by Jason Brownlee: This website provides many resources for learning machine learning with Python. It includes tutorials on various topics of machine learning with Python such as deep learning with Keras and TensorFlow 2.0.

There are many popular machine learning libraries available in Python. Here are some of the most popular ones:

  1. Scikit-learn: Scikit-learn is one of the most popular machine learning libraries for developing machine learning algorithms in Python. It has a wide range of supervised and unsupervised learning algorithms that work on a consistent interface in Python.
  2. Keras: Keras is a high-level neural networks API that can run on top of TensorFlow, CNTK, or Theano. It can run seamlessly on both CPU and GPU.
  3. TensorFlow: TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks. It is a symbolic math library that is used for machine learning applications such as neural networks.
  4. PyTorch: PyTorch is an open-source machine learning library based on the Torch library. It is used for applications such as natural language processing and computer vision.
  5. Pandas: Pandas is a Python library that is majorly used for data manipulation. It uses handy and descriptive data structures, such as DataFrames, to create programs for implementing functions.
  6. NumPy: NumPy is a Python library that provides support for large, multi-dimensional arrays and matrices.