Python with Machine Learning Certification

Gain In-depth Knowledge on Python Programming, Keep up with the future with in-demand Data Science knowledge. Apply today at Vepsun and become a Certified Python with Machine Learning expert.

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Created by Sanjeev Singh Last updated Fri, 11-Sep-2020 English
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Curriculum for this course
0 Lessons 00:00:00 Hours
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Description
01 Learning Path
Introduction to Python
  • What is Python and Brief History
  • Discussion on Python 2 and 3
  • Unique Features of Python
  • Discussion on Various IDE’s
  • Demonstration of Practical Use Cases
  • Python Use cases using Data Analysis
Setting Up and Installations
  • Installing Python
  • Setting up Python Environment for Development
  • Installation of Jupyter Notebook
  • How to Access Our Course Material
  • Write your First Program in Python
Python Object and Data Structures Operations
  • Introduction to Python Objects
  • Number Objects and Operations
  • Variable Assignment and Keywords
  • String Objects and Operations
  • Print Formatting with Strings
02 Learning Path
Python Statements
  • Introduction to Python Statements
  • IF, IF-Else, IF-ElIF Statements
  • Comparison operators
  • Chained Comparison Operators
  • What are Loops?
  • For Loop
  • While Loop
Object Oriented Programming
  • Implement Object Oriented with Python
  • Creating Classes and Objects
  • Creating Class Attributes
  • Creating Methods in a Class
  • Inheritance
  • Polymorphism
File and Exception Handling
  • Process Files Using Python
  • Read/Write and Append File Object
  • File Functions
  • File Pointer and operations
  • Introduction to Error Handling
  • Try, Except and Finally
03 Learning Path
Data Analysis with Python
  • Introduction to Data Analysis
  • Why Data Analysis?
  • Data Analysis and Artificial Intelligence Bridge
  • Introduction to Data Analysis libraries
  • Data Analysis Introduction
Pandas and Advanced Analysis
  • Panda’s Series
  • Introduction to Data Frames
  • Missing Data
  • Group by
  • Merging, Joining and Concatenating
  • Operations
  • Data Input and Output
Data Analysis Using Numpy
  • Introduction to Numpy Arrays
  • Creating and Applying Functions
  • Numpy Indexing and Selection
  • Numpy Operations
  • Exercise and Assignment Challenge
04 Learning Path
Data Visualization with Python
  • Plotting Using Matplot Lib
  • Seaborn Visualization
  • Pandas Built-in Data Visualization
  • Project
Linear Regression with Python
  • Introduction to Regression
  • Exercise on Linear Regression using Scikit
  • Practice Project for Linear regression
Seaborn Visualization
  • Categorial Plot Using Seaborn
  • Distributional Plots Using Seaborn
  • Matrix Plots
  • Grids
  • Seaborn Exercises
05 Learning Path
Logistic Regression with Python
  • Regression Vs Classification
  • Logistic Regression Using Scikit
  • Learn Library
  • Handling Missing Values
  • Handling Categorial Data
  • Evaluation of Model Using Confusion Matrix
  • Practice Project on Logistic Regression
K- Nearest Neighbors Using Python
  • K- Nearest Neighbors Using Scikit
  • Getting the Correct Number of Clusters
  • Evaluation of Model Using Confusion Matrix and Classification Report
  • Standard Scaling Problem
  • Practice Project on Logistic Regression
06 Learning Path
Support Vector Machines
  • Linearly Separable Data
  • Non-linearly Separable Data
  • SVM Project with Dataset
Ensemble Methods
  • XGBoost
  • Cat boost
  • Ada boost
  • Model Evaluation
  • Bias Variance Trade-off
Decision Tree and Random Forest with Python
  • Intuition Behind Decision Trees
  • Implementation of Decision Tree
  • Decision Tree and Random Forest for Regression
  • Decision Tree and Random Forest for Classification
  • Evaluation of the Decision Tree and Random Forest using Different Methods
  • Practice Project on Decision Tree and Random Forest
Project
  • Sales Forecasting using Walmart Dataset
  • BigMart Sales Prediction ML Project
  • Music Recommendation System Project
  • Human Activity Recognition using Smartphone Dataset
  • Stock Prices Predictor using TimeSeries
  • Predicting Wine Quality using Wine Quality Dataset
  • MNIST Handwritten Digit Classification
  • Learn to build Recommender Systems with Movielens Dataset
  • Boston Housing Price Prediction ML Project
  • Social Media Sentiment Analysis using Twitter Dataset
  • Iris Flowers Classification ML Project
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