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Machine Learning & Deep Learning in Python & R Free Udemy Course Coupon Code

Coupon Code: JULY4AH

COURSE CONTENT

  • Introduction
  • Setting up Python and Jupyter Notebook
  • Setting up R Studio and R crash course
  • Basics of Statistics
  • Introduction to Machine Learning
  • Data Preprocessing
  • Linear Regression
  • Classification Models: Data Preparation
  • The Three classification models
  • Logistic Regression
  • Linear Discriminant Analysis (LDA)
  • K-Nearest Neighbors classifier
  • Comparing results from 3 models
  • Simple Decision Trees
  • Simple Classification Tree
  • Ensemble technique 1 – Bagging
  • Ensemble technique 2 – Random Forests
  • Ensemble technique 3 – Boosting
  • Maximum Margin Classifier
  • Support Vector Classifier
  • Support Vector Machines
  • Creating Support Vector Machine Model in Python
  • Creating Support Vector Machine Model in R
  • Introduction – Deep Learning
  • Neural Networks – Stacking cells to create network
  • ANN in Python
  • ANN in R
  • CNN – Basics
  • Creating CNN model in Python
  • Creating CNN model in R
  • Project : Creating CNN model from scratch
  • Project : Creating CNN model from scratch
  • Project : Data Augmentation for avoiding overfitting
  • Transfer Learning : Basics
  • Transfer Learning in R
  • Time Series Analysis and Forecasting
  • Time Series – Preprocessing in Python
  • Time Series – Important Concepts
  • Time Series – Implementation in Python
  • Time Series – ARIMA model
  • Time Series – SARIMA model

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