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Udemy

Python Programming with Machine Learning & Deep Learning

via Udemy

Overview

Learn Python like a Professional! Complete hands-on Machine learning with Pandas, Numpy and more

What you'll learn:
  • Learn to use Python professionally, learning both Python 2 and Python 3!
  • Learn advanced Python features
  • Understand how to use both the Jupyter Notebook
  • Build a complete understanding of Python from the ground up!
  • Learn Python Libraries like Numpy, Pandas, Scikit Learn, Scipy and Seaborn
  • Make predictions using linear regression, polynomial regression, and multivariate regression
  • Data Visualization with MatPlotLib and Seaborn
  • Data wrangling
  • Classify images, data, and sentiments using deep learning

Become a Python Programmer and learn one of employer's most requested skills of 2020!

This is the most comprehensive, yet straight-forward, course for the Python programming language on Udemy! Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3.This course will teach you Python in a practical manner, with every lecture comes a full coding screencast.

We cover a wide variety of topics, including:

  • Installing Python

  • Running Python Code

  • Strings

  • Lists

  • Dictionaries

  • Tuples

  • Sets

  • Number Data Types

  • Functions

  • Debugging and Error Handling

  • Deep Learning / Neural Networks (MLP's, CNN's, RNN's) with TensorFlow and Keras

  • Data Visualization in Python with MatPlotLib and Seaborn

  • Image recognition and classification

  • Regression analysis

  • K-Means Clustering

  • Train/Test and cross validation

  • Multiple Regression

  • Support Vector Machines

  • Collaborative Filtering

  • K-Nearest Neighbor

  • and much more!

So what are you waiting for? Learn Python in a way that will advance your career and increase your knowledge, all in a fun and practical way!

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Reviews

3.3 rating at Udemy based on 127 ratings

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