AI & ML – CodeChef Certified
A 6-month immersive program in Artificial Intelligence and Machine Learning, designed in collaboration with CodeChef. Covers core AI/ML concepts, real-world use cases, and 12 industry-grade projects. Ideal for developers and professionals looking to break into the AI industry.
₹50000.00
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Course Overview
Schedule of Classes
Course Curriculum
2 Subjects
AI/ML (ENG)
49 Learning Materials
SET 1
INTRODUCTION
VARIABLES
IDENTIFERS, DATA TYPES AND OPERATORS
OPERATORS
CONDITIONAL STATEMENTS
SET 2
UNDERSTANDING CONDITIONAL STATEMENTS IN PYTHON
INTRODUCTION TO LOOPING STATEMENTS
FOR LOOP & WHILE LOOP
NESTED LOOP & STRINGS
STRINGS
SET 3
DATA COLLECTION
NESTED LIST & TUPLE
DICTIONARY
SETS, JUMP STATMENTS & FUNCTIONS
FUNCTION & ARGUMENTS
SET 4
FUNCTIONS & RECURSION
LAMBDA MAP FUNCTIONS
FILTER FUNCTIONS
LIST COMPREHENSION MODULES & PACKAGES
FILE HANDLING & EXCEPTION HANDLING
SET 5
MACHINE LEARING : INTRODUCTION
MACHINE LEARING : PREPROCESSING STEPS
DATA MANIPULATION TECHNIQUES
DATA CLEANING AND ENCODING TUTORIALS
DATA ANALYSIS AND MODEL TRAINING
SET 6
Understanding Unsupervised Machine Learning
Understanding Unsupervised Machine Learning Algorithms - Part 2.mp4
Understanding Supervised Machine Learning Algorithms and linear regression example.mp4
Understanding Linear and Logistic Regression (1).mp4
Understanding Decision Trees
SET 7
Artificial Neurons and Neural Networks Overview.mp4
Understanding Deep Learning Fundamentals.mp4
Understanding Perceptrons Training and Optimization.mp4
Understanding Principal Component Analysis .mp4
SET 8
1 Understanding K-Means Clustering and practical example.mp4
2 Understanding Loss or cost Function.mp4
3 Understanding Tensorflow Basics.mp4
4 cractical Example with Deep Learning.mp4
SET 9
01 NLP Introduction.mp4
02 NLP REGEX.mp4
03 TOKENIZATION.mp4
SET 10
NLP 04 Stemming .mp4
NLP 05 Lemmatization .mp4
NLP 06 POS tagging Named enitity recognition.mp4
SET 11
NLP 07-PROJECT-SENTIMENT ANALYSIS.mp4
NLP08-BOW AND TFIDF.mp4
SET 12
NLP-08.mp4
NLP-10.mp4
SET 13
NLP 11 Understanding Langchain for NLP.mp4
AI/ML (MAL)
59 Learning Materials
SET 1
PYTHON AND PYCHARM INSTALLATION
INTRODUCTION TO PYTHON
IDENTIFIERS, KEYWORD, DATATYPES AND OPERATORS
OPERATORS
CONDITIONAL STATEMENTS
SET 2
MULTIPLE CONDITIONS AND SIMPLE CALCULATOR
MULTIPLE CONDITIONS
LOOPING - FOR LOOPS
FOR LOOP - QUESTIONS
FOR AND WHILE LOOP
WHILE LOOP - QUESTIONS
CONDITIONAL STATEMENTS AND SIMPLE CALCULATOR PROGRAM
LOOP CONTROL STATEMENTS
SET 3
WHILE LOOP AND PATTERN PRINTING
PATTERNS
STRINGS, INDEXING & SLICING
BUILT IN FUNCTIONS IN DATA COLLECTION
BUILT IN FUNCTIONS IN PYTHON LIST
SET 4
FUNCTIONS
MODULES
FILE HANDLING
SET 5
EXCEPTION HANDLING
LISTS
DICTIONARIES AND SETS
MULTIPLE CONDITIONS
NUMPY PANDAS
SET 6
Introduction to AI & ML
LOGISTIC REGRESSION
Decision Trees
Random Forest
SET 7
Introduction to AI & ML
LOGISTIC REGRESSION
Decision Trees
Random Forest
SET 8
KNN Neighbors
Unsupervised Learning
Hierarchical Clustering
PCA
SET 9
ANN
Feed Forward Neural Networks
Training in Perceptrons
Cost function
SET 10
Mean Squared Error
TensorFlow
PyTorch
SET 11
Titanic Survival Prediction
Titanic Survival Prediction Problem
Titanic Survival Prediction Final Part
Titanic Survival Prediction 2
SET 12
NLP01
NLP02
NLP03
SET 13
NLP04 _Stemming
NLP -05 lemmatization
NLP06 POS Tagging Name entity recognitions
SET 14
NLP 07-SENTIMENT ANALYSIS-PROJECT
NLP 08- BOW AND TFIDF.
SET 15
NLP-09 WORD EMBEDDING WORD2VEC
NLP-10 GLOVE FASTTEXT
Course Instructor
Skillpod Admin
12 Courses • 154 Students
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