MACHINE LEARNING + BASICS OF PYTHON PROGRAMMING COMBO

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Description

Python-Crash-Course
Python Crash Course
Python Crash Course Exercises

Python-for-Data-Analysis
NumPy
NumPy Arrays
Numpy Indexing and Selection
Numpy Operations
Numpy Exercise

Pandas
    Introduction to Pandas
    Series
    DataFrames
    Groupby
    Merging, Joining, and Concatenating 
    Missing Data
    Operations
    Data Input and Output
    Pandas Exercises 

SciPy

Python-for-Data-Visualization
Pandas Built-in Data Viz
Pandas Built-in Data Visualization
Pandas Data Visualization Exercise

Matplotlib
    Matplotlib Concepts
    Advanced Matplotlib Concepts
    Matplotlib Exercises 

Seaborn
    Categorical Plots
    Distribution Plots
    Grids
    Matrix Plots
    Regression Plots
    Style and Color
    Seaborn Exercises 

Plotly and Cufflinks

Geographical Plotting
    Choropleth Maps
    Choropleth Maps Exercise 

Machine Learning Sections
Introduction and basic Theory

Linear-Regression
    Linear Regression with Python
    Linear Regression - Project Exercise 

Logistic-Regression
    Logistic Regression with Python
    Logistic Regression Project 

K-Means-Clustering
    K Means Clustering with Python
    K Means Clustering Project 

Decision-Trees-and-Random-Forests
    Decision Trees and Random Forests in Python
    Decision Trees and Random Forest Project 

K-Nearest-Neighbors
    K Nearest Neighbors with Python
    K Nearest Neighbors Project

Natural-Language-Processing
    NLP (Natural Language Processing) with Python
    NLP Project 

Principal-Component-Analysis

Support-Vector-Machines
    Support Vector Machines with Python
    Support Vector Machines Project 

Recommender-Systems
    Recommender Systems with Python
    Advanced Recommender Systems with Python

Deep Learning
Tensorflow Basics
MNIST with Multi-Layer Perceptron
Tensorflow with ContribLearn
Tensorflow Project Exercise
(NLP) Skipgram Model
(NLP) Sentiment Analysis using DNN
CNNs with Keras

Data-Capstone-Projects
Capstone Project
Finance Project