Data Science and Machine Learning Basic to Advanced

Complete Introduction to Data Science and Machine Learning from Basic to Advanced.

What you will learn

Students will have develop understanding of libraries used for Data Analysis like Pandas and Numpy.

Learn to create impactful visualizations using Matplotlib and Seaborn. By creating these visualizations you will be able to derive better conclusions from data.

After this course you will learn to build complete Data Science Pipeline from Data preparation to building the best Machine Learning Model.

The course contains practical section after every new concept discussed and the course also has two projects at the end.



Welcome and Course Overview

Course Overview


Numpy Introduction and Installation
Creating Arrays in Numpy
Array Shape and Reshape
Array Indexing
Array Iterating
Array Slicing
Searching and Sorting


Pandas Introduction and Installation
Pandas Series
Pandas DataFrame
Pandas ReadCSV
Pandas Analyzing DataFrames

Data Visualization

Matplotlib Introduction
Different types of plots in Matplotlib

Data Preparation

Handling Missing Values
Feature Encoding
Feature Scaling

Machine Learning

Machine Learning Introduction
Supervised Machine Learning
Unsupervised Machine Learning
Train Test Split
Regression Analysis
Linear Regression
Logistic Regression
Decision Tree
Random Forest
K Means Clustering
GridSearch CV

Machine Learning Pipeline

Machine Learning Pipeline


Diabetes Prediction
Insurance Cost Prediction

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