Python + DS + ML (Bundle)

Give your career a new dimension with complete Python course. Create your own Machine Learning application.

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(1792 Ratings)

Designed by the OK Google Developer, this course will help you master the most popular and highly-demanded programming language Python along with Data Structures and Machine Learning. Create your own Machine Learning applications by the end of this course. 

WHAT YOU’LL LEARN

Importance of Python

Describe the basics of the Python programming language

Install Python and write your first program

Use variables and constants to store, retrieve and calculate information

Utilize core programming tools such as functions and loops

Accomplish multi-step tasks like sorting or looping using tuples

Create programs that are able to read and write data from files

Store data as key/value pairs using Python dictionaries

Start with basics of Object Oriented Programming

Understanding class and object

Encapsulation, abstraction, inheritance and polymorphism

Using Scikit Learn in Machine Learning Techniques like Regression, Classification, Clustering, Recommender Systems

Doing basic project in Python

Select and process the data

Process data using Graphs Library in Python

Creating capstone project on Machine Learning using TensorFlow in Python

Usage of Python Libraries

Live Classes

Machine Learning

Python Certification

  • INTRODUCTION 00:03:41
  • WHY PROGRAMMING 00:03:36
  • WHY PYTHON 00:06:03
  • PYTHON 2 TO PYTHON 3 00:03:34

  • PYTHON INSTALLATION 00:01:40
  • PYTHON INSTALLATION DEMO 00:02:27
  • PYTHON USAGE 00:03:35
  • PYTHON ONLINE 00:03:29

  • HELLO WORLD ASSIGNMENT 00:00:00

  • CONSTANTS 00:03:55
  • VARIABLES RESERVED WORDS 00:04:08
  • EXPRESSIONS DATA TYPES 00:08:20
  • TYPE CONVERSIONS STRING CONVERSIONS 00:06:04
  • USER INPUT 00:05:00
  • CONSTANTS RESEVER WORDS VARIABLES QUIZ 00:00:00
  • Expressions and user input assignment 00:00:00
  • Expressions and user input assignment solution

  • COMPARISON OPERATOR 00:02:49
  • CONDITIONS IF ELIF 00:08:53
  • CONDITIONS EXAMPLE 00:03:34
  • TRY EXCEPT 00:06:39
  • TRY EXCEPT EXAMPLE 00:04:20
  • CONDITIONS AND COMPARISONS QUIZ 00:00:00
  • TRY EXCEPT ASSIGNMENT 00:00:00
  • TRY EXCEPT ASSIGNMENT SOLUTION

  • FUNCTIONS 00:05:05
  • FUNCTIONS WITH ARGUMENTS 00:06:23
  • RETURN FUNCTIONS 00:04:24
  • MULTIPLE ARGUMENTS 00:05:02
  • FUNCTIONS QUIZ 00:00:00
  • FUNCTIONS ASSIGNMENT 00:00:00
  • FUNCTIONS ASSIGNMENT SOLUTION

  • LOOPS INTRODUCTION 00:04:48
  • BREAK CONTINUE 00:05:53
  • FOR LOOP 00:03:20
  • LOOPS EXAMPLE 00:05:57
  • LOOPS MORE EXAMPLES 00:03:03
  • LOOPS EXAMPLES ENDING 00:07:27
  • LOOPS QUIZ 00:00:00
  • LOOPS ASSIGNMENT 00:00:00
  • LOOPS ASSIGNMENT SOLUTION

  • INTRODUCTION TO DATA STRUCTURES COURSE 00:04:07
  • INTRODUCTION TO MACHINE LEARNING COURSE 00:09:14

  • TOP 15 INTERVIEW QUESTIONS
  • SOCIAL MEDIA LINKS
Data Structures in Python

  • INTRODUCTION TO COURSE 00:04:07
  • STRING INTRODUCTION AND LEN FUNCTION 00:05:14
  • STRING LOOPING 00:05:57
  • STRING SLICING 00:06:32
  • STRING LIBRARY FUNCTIONS 00:04:20
  • STRIPPING WHITESPACE 00:02:05
  • PARSING EXTRACTING 00:06:32
  • STRINGS QUIZ 00:00:00
  • STRINGS ASSIGNMENT 00:00:00
  • STRINGS ASSIGNMENT SOLUTION

  • INTRODUCTION TO FILES 00:06:03
  • COUNTING LINES IN FILES 00:04:26
  • READ WHOLE FILE 00:04:54
  • SEARCHING IN A FILE 00:06:59
  • TAKING FILE NAME FROM USER 00:06:09
  • FILES QUIZ 00:00:00
  • FILES ASSIGNMENT 00:00:00
  • FILES ASSIGNMENT SOLUTION

  • LISTS INTRODUCTION 00:08:01
  • LEN RANGE 00:04:55
  • LISTS CONTINUED 00:09:34
  • SUM AVERAGE USING LISTS 00:06:15
  • SPLIT FUNCTION 00:07:33
  • LISTS QUIZ 00:00:00
  • LIST ASSIGNMENT 00:00:00
  • LISTS ASSIGNMENT SOLUTION

  • DICTIONARY INTRODUCTION 00:03:26
  • LIST VS DICTIONARIES 00:06:36
  • GET FUNCTION COUNT EXAMPLE 00:08:49
  • LOOPS AND DICTIONARIES 00:06:19
  • DICTIONARIES QUIZ 00:00:00
  • DICTIONARIES ASSIGNMENT 00:00:00
  • DICTIONARIES ASSIGNMENT SOLUTION

  • TUPLES INTRODUCTION 00:04:24
  • TUPLES AND DICTIONARIES 00:05:17
  • SORTED TUPLES 00:10:01
  • TUPLES QUIZ 00:00:00
  • TUPLES ASSIGNMENT 00:00:00
  • TUPLES ASSIGNMENT SOLUTION

  • SETS INTRODUCTION 00:03:58
  • SETS CREATION 00:03:10
  • EMPTY SET OR DICTIONARY 00:01:40
  • SETS ADDING UPDATING 00:03:02
  • REMOVING DELETING ELEMENTS OF SETS 00:04:51
  • SETS VS LISTS VS DICTIONARIES 00:02:05
  • SETS OPERATIONS 00:05:26
  • SETS FUNCTIONS 00:04:30
  • SETS QUIZ 00:00:00
  • SETS ASSIGNMENTS 00:00:00

  • INTRODUCTION TO MACHINE LEARNING COURSE 00:09:14
  • SOCIAL MEDIA LINKS

  • DATA STRUCTURES INTERVIEW QUESTIONS
  • STACK QUEUES
  • SEARCHING SORTING COMPLEXITY ANALYSIS
Object Oriented Programming

  • WHAT IS PROGRAMMING? 00:02:36
  • DIFFERENECE BETWEEN PROCEDURAL AND OBJECT ORIENTED PROGRAMMING 00:07:55
  • OBJECTS 00:05:02
  • CLASSES 00:02:57
  • OBJECTS AND CLASSES DEMO 00:04:46

  • CONSTRUCTORS INTRODUCTION 00:04:36
  • CONSTRUCTORS TYPES 00:06:02

  • ENCAPSULATION AND ABSTRACTION INTRODUCTION 00:04:33
  • ENCAPSULATION AND ABSTRACTION CODE 00:04:13

  • INHERITANCE 00:04:06
  • INHERITANCE CODE 00:04:19
  • POLYMORPHISM 00:03:27
  • POLYMORPHISM CODE 00:04:16
  • SOME MORE FUNCTIONS 00:01:54

  • OOPS Quiz 00:00:00
  • OOPS Assignment 00:00:00

  • Red Wine Project
  • HANDLING MISSING VALUES 00:07:35
  • When To Use MACHINE LEARNING 00:01:51
  • Medical Cost Prediction Project 00:12:44
  • Python Libraries Guide Tutorial 00:07:49
  • Matplotlib 00:15:50
  • Pandas Tutorial 00:14:28
  • *args and **kwargs in python 00:08:33
  • Numpy Tutorial 00:33:41
  • Set In Python
  • Python OOPs Concept
  • Wine EDA Part-2
  • Wine EDA Part -1
  • Python Quiz
  • Seaborn Tutorials
  • StopWatch Projects in Python
  • H2O tutorials
  • Types Of Data Distribution
  • Errors Of ML Model
Machine Learning in Python

  • INTRODUCTION TO COURSE 00:09:14
  • INTRODUCTION TO ML 00:08:33
  • DIFFERENCE BETWEEN AI ML DEEP LEARNING 00:04:07
  • PYTHON LIBRARIES IN MACHINE LEARNING 00:04:51
  • SUPERVISED AND UNSUPERVISED LEARNING 00:05:46
  • INTRODUCTION TO MACHINE LEARNING QUIZ 00:00:00

  • WHAT IS REGRESSION? 00:03:05
  • REGRESSION MODELS 00:06:35
  • LINEAR REGRESSION 00:03:54
  • LINEAR REGRESSION MODELS SLOPES AND INTERCEPT 00:04:55
  • LINEAR REGRESSION SKLEARN CODING 00:09:38
  • LINEAR REGRESSION SKLEARN CODE
  • LINEAR REGRESSION SKLEARN CODE EXPLAINED 00:22:11
  • LINEAR REGRESSION ERRORS 00:02:33
  • RSQUARED 00:04:53
  • MULTIPLE LINEAR REGRESSION 00:04:08
  • POLYNOMIAL AND NON LINEAR REGRESSION 00:04:00
  • REGRESSION QUIZ 00:00:00

  • ABOUT CLASSIFICATION 00:07:06
  • KNN 00:06:55
  • WORKING WITH KNN 00:02:38
  • EVALUATION METRICS 00:03:12
  • DECISION TREES 00:05:36
  • SVM 00:07:19
  • RANDOM FOREST TUTORIAL 00:14:57
  • CLASSIFICATION QUIZ 00:00:00

  • WHAT IS CLUSTERING? 00:06:34
  • CLUSTERING VS CLASSIFICATIONS 00:07:07
  • KMEANS CLUSTERING 00:08:01
  • CLUSTERING QUIZ 00:00:00

  • RECOMMENDER SYSTEMS 00:06:43
  • CONTENT BASED RECOMMENDER SYSTEMS 00:06:31
  • COLLABORATIVE FILTERING 00:06:03
  • RECOMMENDER SYSTEMS QUIZ 00:00:00

  • PYTHON BEGINNER PROJECT 00:05:00
  • PROJECT IMPLEMENTATION 00:07:38
  • PROJECT CODE

  • PYTHON LIBRARIES INTRODUCTION 00:06:07
  • PLOTTING 3D PLOTS & LINES 00:06:05
  • 3D PLOTS SURFACE TRIANGULATION 00:07:38
  • 3D PLOT CODE

  • INTRO TO MACHINE LEARNING 00:03:11
  • UNDERSTANDING FLOW CHART 00:06:01
  • TRAINING AND TESTING THE NETWORK WITH TENSORFLOW AND KERAS 00:11:01
  • FINAL PYTHON QUIZ 00:00:00
  • MACHINE LEARNING ASSIGNMENT 00:00:00

  • MACHINE LEARNING LIVE PROJECT 00:00:00

  • BREAST CANCER PREDICTION LOGISTIC REGRESSION 00:43:32
  • SPAM MAIL PREDICTION 00:33:38

  • INTRODUCTION TO ML WORKFLOW 00:06:56
  • MODEL SELECTION 00:11:17
  • OVERFITTING 00:08:50
  • UNDERFITTING 00:06:53
  • BIAS VARIANCE TRADE OFF 00:09:52
  • DIMENSIONALITY REDUCTION 00:07:47
  • GRADIENT DECENT 00:05:02

  • ML Model deployment using Flask 00:11:55

  • GITHUB TUTORIAL 00:08:11
Resume Building

  • OVERLEAF INTRODUCTION 00:02:10
  • RESUME BUILDING IN LATEX 00:09:32

About the instructor

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Ok Google Developer

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Certificate Sample

Python + DS + ML

$289.00 423.00
₹21,150.00 31,150.00

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  • 194 Lessons
  • 14:57:28 Hours On demand videos
  • Lifetime Video Access
  • Certificate of Completion
  • Approx. 3 Months to Complete
  • Live Classes
  • Quizzes and Assignments
  • No Prior Experience Required
  • Top 50 Interview Question
  • Resume Building
  • Internships and Placement