Requirements
Python Basics
Description
If you are interested in machine learning ?
Don’t know How to start ?
then this course is for you ,
I’ve explained all the algorithms and their coding , and I’ll provide the coding and data-set ,
so you can easily understand the code .
Course structure :
Introduction to Machine Learning
Installation of anaconda
Modules and Code
Crash Course on Numpy ,Matplotlib ,Pandas ,Distplot
Exploratory Data Analysis
Data pre-processing
Regression
Simple Linear Regression
Gradient descent
Support vector regression
Polynomial regression
Decision trees regression
Random Forest
Classification
logistic regression classifier
K-Nearest Neighbours (K-N-N)
Support Vector Machines
naive Bayes theorem
Decision tree classifier
Random forest-classifier
Association rule learning
Clustering
k-means clustering
Hierarchy clustering
ANN
Dimensional reduction
Feature selection
Model Selection
x-g Boost
.natural language processing
Face_detection
Emotional Detection
Conclusion
Who this course is for:
Anyone who is interested in machine learning
Who this course is for:
Beginner’s Python Developers curious about Machine Learning
Who want to become Machine learning Engineer