Machine Learning A-Z™: Hands-On Python & R In Data Science

  • Course level: All Levels
  • Categories Engineering
  • Total Enrolled 0
  • Last Update January 2, 2022

About Course

Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.

Description

Interested in the field of Machine Learning? Then this course is for you!

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.

We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

What Will I Learn?

  • Master Machine Learning on Python & R
  • Make accurate predictions
  • Make robust Machine Learning models
  • Use Machine Learning for personal purpose
  • Have a great intuition of many Machine Learning models
  • Make powerful analysis

Topics for this course

25 Lessons

Machine Learning Tutorial Python -1: What is Machine Learning?

Machine Learning Tutorial Python -1: What is Machine Learning?00:6:50

Machine Learning Tutorial Python – 2: Linear Regression Single Variable

Machine Learning Tutorial Python – 3: Linear Regression Multiple Variables

Machine Learning Tutorial Python – 4: Gradient Descent and Cost Function

Machine Learning Tutorial Python – 5: Save Model Using Joblib And Pickle

Machine Learning Tutorial Python – 6: Dummy Variables & One Hot Encoding

Machine Learning Tutorial Python – 7: Training and Testing Data

Machine Learning Tutorial Python – 8: Logistic Regression (Binary Classification)

Machine Learning Tutorial Python – 8 Logistic Regression (Multiclass Classification)

Machine Learning Tutorial Python – 9 Decision Tree

Machine Learning Tutorial Python – 10 Support Vector Machine (SVM)

Machine Learning Tutorial Python – 11 Random Forest

Machine Learning Tutorial Python 12 – K Fold Cross Validation

Machine Learning Tutorial Python – 13: K Means Clustering Algorithm

Machine Learning Tutorial Python – 14: Naive Bayes Classifier Algorithm Part 1

Machine Learning Tutorial Python – 15: Naive Bayes Classifier Algorithm Part 2

Machine Learning Tutorial Python – 16: Hyper parameter Tuning (GridSearchCV)

Machine Learning Tutorial Python – 17: L1 and L2 Regularization | Lasso, Ridge Regression

Machine Learning Tutorial Python – 18: K nearest neighbors classification with python code

Machine Learning Tutorial Python – 19: Principal Component Analysis (PCA) with Python Code

Machine Learning Tutorial Python – 20: Bias vs Variance In Machine Learning

Machine Learning Tutorial Python – 21: Ensemble Learning – Bagging

Machine Learning & Data Science Project – 1 : Introduction (Real Estate Price Prediction Project)

Machine Learning & Data Science Project – 2 : Data Cleaning (Real Estate Price Prediction Project)

Machine Learning & Data Science Project – 3 : Feature Engineering (Real Estate Price Prediction)

29.99

Requirements

  • Just some high school mathematics level.