Learn Machine Learning With Python

Machine learning ( ML) is the analysis of machine algorithms that automated experimentation improves. The artificial intelligence is used as a branch. To order to render forecasts or calculations without complex scripting, machine learning constructs a statistical model dependent on experimental data known as "training" data. Machine learning is directly linked to quantitative statistics, which rely on forecasting using a PC.
Arthur Samuel, an American IBMer and a leader of computer games and artificial intelligence, invented the word "Machine computing" of 1959.
In this learn series, you'll learn the following:
  1. Introduction to Python
  2. Setting up Anaconda on Windows
  3. Python libraries for Machine Learning: Numpy
  4. Python libraries for Machine Learning: Pandas
  5. Python libraries for Machine Learning: Scikit-Learn
  6. Python libraries for Machine Learning: Matplotlib
  7. Python libraries for Machine Learning: Seaborn
  8. Python libraries for Machine Learning: Tensorflow
  9. Statistics: Introduction
  10. Statistics: Measure of Central Tendency
  11. Basics of Data Science
  12. Machine Learning: Introduction
  13. Machine Learning: Linear Regression
  14. Machine Learning: Logistic Regression
  15. Machine Learning: Multiple Linear Regression
  16. Machine Learning: Decision Tree
  17. Machine Learning: Naive Bayes
  18. Machine Learning: K-Means Clustering
  19. Machine Learning: K-Nearest Neighbors
  20. Machine Learning: Support Vector Machine
  21. Machine Learning Project 1: Housing Price Prediction
  22. Machine Learning Project 2: IRIS Dataset
  23. Machine Learning Project 3: Tweet Classifier
  24. Machine Learning Project 4: Recommendation System
Getting Started »