DS-AI Foundation
Course Instructor
Abhishek Gupta
₹95000.00
To enroll in this course, please contact the Admin
Course Overview
Schedule of Classes
Course Curriculum
1 Subject
DS-AI Foundation
175 Learning Materials
Introduction to Computer Programming : Part 1
PF-1 Introduction to Python -general
PDF
PF-1 Introduction to Python -general - 2
PDF
PF-1 Introduction to Python - Assignments
PDF
PF-2 Datatypes - General
PDF
PF-2 Datatypes - Assignmnet
PDF
PF - 3 Type Casting- general
PDF
PF - 3 Type Casting- assignments
PDF
PF-4 Operators - General -1
PDF
PF-4 Operators - General - 2
PDF
PF-4 Operators - Assignmnet
PDF
PF -5 Strings - general
PDF
PF-5 Strings - general - 2
PDF
PF - 5 Strings - Assignments
PDF
PF-6 Conditional Statements - General
PDF
PF-6 Conditional Statements
PDF
PF - 7 Loops - general
PDF
PF - 7 Loops - general 2
PDF
PF - 7 Loops - Assignment
PDF
PF-8 List - General -1
PDF
PF-8 List- General -2
PDF
PF-8 List- Assignmnet
PDF
PF - 9 Tuples - general
PDF
PF - 9 Tuples - assignments
PDF
PF-10 Dictionary - General
PDF
PF-10 Dictionary - Assignment
PDF
PF - 11 - Functions - general
PDF
PF - 11 Functions - general - 2
PDF
PF - 11 - Functions general - 3
PDF
PF - 11 Functions Assignments
PDF
PF-12 Modules - General
PDF
PF-12 Modules - Assignmnet
PDF
PF - 13 - File Handling - general
PDF
PF - 13 File Handling - general - 2
PDF
PF - 13 - Python File Handling general -3
PDF
PF - 13 assignments
PDF
PF-14 Iterators and Generators - General
PDF
PF-14 Iterators and Generators - Assignmnet
PDF
PF - 15 Exception File Handling - general
PDF
PF - 15 exception Handling assignments
PDF
PF-16 Regex - General-1
PDF
PF-16 Regex- General-2
PDF
PF - 17 Matplotlib -general
PDF
PF - 17 Matplotlib general 2
PDF
PF - 17 matplotlib - assignments
PDF
PF-18 Seaborn - General -1
PDF
PF-18 Seaborn - General -2
PDF
PF-18 Seaborn - General -3
PDF
PF-18 Seaborn - Assignment
PDF
PF 17 Matplotlib - Publication 1
PDF
PF 17 Matplotlib - Publication 2
PDF
PF 17 Matplotlib - Publication 3
PDF
PF 18 Seaborn - Publication 1
PDF
PF 18 Seaborn - Publication 2
PDF
PF1 Introduction to Python - publication
PDF
PF-2 Datatypes - Publication
PDF
PF-3 Typecasting - publication
PDF
PF-4 Operators - Publication 1
PDF
PF-4 Operators - Publication 2
PDF
PF-5 Strings - publication 1
PDF
PF-5 strings - Publication 2
PDF
PF-5 Strings - publication 3
PDF
PF-6 Conditional Statements - publication 1
PDF
PF-7 Loop - Publication 1
PDF
PF-7 Loop Publication 2
PDF
PF-8 Loop - Publication 3
PDF
PF -8 Loop - Publication 4
PDF
PF-9 Tuples - Publication
PDF
PF-10 Dictionary - Publication 1
PDF
PF-10 Dictionary - Publication 2
PDF
PF-11 Functions - Publication 1
PDF
PF-11 Functions-Publication 2
PDF
PF-11 Functions-Publictaion 3
PDF
PF-12 Modules - Publication
PDF
PF-13 File Handling - Publication 1
PDF
PF -13 File Handling - Publication 2
PDF
PF-14 Iterators and Generators - Publication
PDF
PF -15 ExceptionHandling - Publication
PDF
PF -16 Regex - Publication 1
PDF
PF-16 Regex - Publication2
PDF
Numerical Program in Python
NP-1 Numpy - General -1
PDF
NP-1 Numpy - General -2
PDF
NP-1 Numpy - General - 3
PDF
NP-1 Numpy General- 3
PDF
NP-2 Pandas- General-1
PDF
NP-2 Pandas- General-2
PDF
NP-2 General-3
PDF
NP-2 Pandas- General-4
PDF
NP-3 OOPS-General-1
PDF
NP-3 OOPS-General-2
PDF
NP-3 OOPS-General-3
PDF
NP-3 OOPS-General-4
PDF
NP-3 OOPS-General-5
PDF
NP-3 OOPS-General-6
PDF
NP-3 OOPS-General-7
PDF
NP-3 OOPS-General-8
PDF
NP-3 OOPS-Assignment
PDF
NP Numpy - Publication 1
PDF
NP Numpy - Publication 2
PDF
NP Numpy - Publication 3
PDF
NP Numpy - Publication 4
PDF
NP Numpy - Publication 5
PDF
NP Numpy - Publication 6
PDF
NP-2 Pandas- Publication 1
PDF
NP-2 Pandas- Publication 2
PDF
NP-2 Pandas- Publication 3
PDF
NP-2 Pandas- Publication 4
PDF
NP-2 Pandas- Publication 5
PDF
NP-2 Pandas- Publication 6
PDF
NP-3 OOPS-Publication 1
PDF
NP-3 1OOPS-Publication 2
PDF
NP-3 OOPS-Publication 3
PDF
NP-3 OOPS- Publication 4
PDF
NP-3 OOPS-Publication 5
PDF
NP-3 OOPS-Publication 6
PDF
Mathematics For Computer Science
AP 1-Introduction to Statistics - General-1
PDF
AP-1 -Introduction To Statistics -Assignmnet
PDF
Ap-2- Data Visualization Basics -General-1
PDF
AP-2-Data Visualization Basics_General-2
PDF
AP-2-Data Visualization Basics -Assignment
PDF
AP-3 - Descriptive Statistics - General-1
PDF
AP-3 - Descriptive Statistics - General-2
PDF
AP-3 - Descriptive Statistics - Assignment
PDF
AP-4-Measure Of Symmetricity-General-1
PDF
AP-4 -Measure Of Symmetricity - General- 2
PDF
AP-5 - Z- Score Method - General
PDF
AP-5 - Z- Score Method - Assignment
PDF
AP-6 - Sampling - General
PDF
AP-6 - Sampling - Assignment
PDF
AP-7 - Probability and Distribution - General
PDF
Ap-7 - Probability and Distribution - Assignment
PDF
Ap-8 - Bayes Theorem - General - 1
PDF
AP-8 - Bayes Theorem - General-2
PDF
AP-8 - Bayes Theorem - Assignment
PDF
AP-1 introduction to Statistics -Publication 1
PDF
AP-7 Probability And Distribution - Publication 1
PDF
AP-7 Probability and Distribution- Publication 2
PDF
AP-7 Probability And Distribution - Publication 3
PDF
AP-3 - Descriptive Statistics - Publication 1
PDF
AP-3 - Descriptive Statistics - Publication 2
PDF
AP-6-Sampling-Publication1
PDF
Introduction to Machine Learning
ML -1 introduction to machine learning
PDF
ML - 1 introduction to machine learning - general 2
PDF
ML -1 introduction to Machine Learning - general 3
PDF
Introduction to ML - assignments
PDF
ML 2 - Linear Regression - general
PDF
ML - 2 Linear Regression - general 2
PDF
ML 2 - Linear Regression - general 3
PDF
ML - 2 - Linear Regression general 4
PDF
ML - 2 Linear Regression - general 5
PDF
ML -2 linear regression - general 6
PDF
ML - 2 linear regression - general - 6
PDF
ML - 2 linear regression general - 7
PDF
ML - 2 Linear Regression - assignments
PDF
ML - 3 Logistic regression
PDF
ML 3 logistic regression general 2
PDF
ML 3 Logistic regression - general 3
PDF
ML 3 Logistic regression general 4
PDF
ML 3 Logistic regression general 5
PDF
ML 3 Logistic regrsession general 6
PDF
ML -3 Logistic regression assignments
PDF
ML 3 - Logistic regression - assignment 2
PDF
ML - 4 Decision Tree - general 1
PDF
ML 4 decision tree general 2
PDF
ML 4 decision tree general 3
PDF
ML 4 decision tree general 4
PDF
ML 4 Decision Tree general 5
PDF
ML 4 decision tree general 6
PDF
ML - 4 Decision Tree-Publication 1
PDF
ML - 4 Decision Tree-Publication 2
PDF
ML - 4 Decision Tree-Publication 3
PDF
ML -1 Introduction to Machine learning-Publication 1
PDF
ML -1 Introduction to Machine learning-Publication 2
PDF
ML -1 Introduction to Machine learning-Publication 3
PDF
ML 2 - Linear Regression-Publication 1
PDF
ML - 3 Logistic regression Publication 1
PDF
Advance Machine Learning
Problem Solving Techniques
Course Instructor
Abhishek Gupta
715 Courses • 221267 Students
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