Complete Data Science,Machine Learning,DL,NLP Bootcamp

Master the theory, practice,and math behind Data Science,Machine Learning,Deep Learning,NLP with end to end projects

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250
learners

What you'll learn

Master foundational and advanced Machine Learning and NLP concepts.
Understand and implement mathematical principles behind ML algorithms.
Understand The Core intuition of Deep Learning such as optimizers,loss functions,neural networks and cnn
Apply theoretical and practical knowledge to real-world projects using Machine learning,NLP And MLOPS
Develop and optimize ML models using industry-standard tools and techniques.

This Course Includes

Course Content

64 sections • 486 lectures • 101h 27m total length
Getting Started 27min
Python Programming Language 1hr 24min
Python Control Flow 49min
Inbuilt Data Structures In Python 2hr 9min
Functions In Python 1hr 22min
Function Practice Question 0
Inbuilt Data Structure - Practice Question 0
Importing Creating Modules And Packages 36min
File Handling In Python 26min
Exception Handling In Python 26min
OOPS Concepts With Classes And Objects 1hr 56min
Advance Python 39min
Data Analysis With Python 2hr 27min
Working With Sqlite3 17min
Logging In Python 27min
Python Multi Threading and Multi Processing 66min
Memory Management With Python 21min
Getting Started With Flask Framework 1hr 46min
Getting Started With Streamlit Web Framework 26min
Getting Started With Statistics 2hr 24min
Introduction To Probability 22min
Probability Distribution Function For Data 3hr
Inferential Statistics 2hr 31min
Feature Engineering 1hr 24min
Exploratory Data Analysis and Feature Engineering 1hr 39min
Introduction To Machine Learning 1hr 1min
Understanding Complete Linear Regression Indepth Intuition And Practicals 4hr 16min
Ridge,Lasso And ElasticNet ML Algorithms 2hr 10min
Steps By Step Project Implementation With LifeCycle OF ML Project 2hr 44min
Logistic Regression 2hr 7min
Support Vector Machines 1hr 44min
Naive Bayes Theorem 56min
K Nearest Neighbour ML Algorithm 37min
Decision Tree Classifier And Regressor 1hr 47min
Random Forest Machine Learning 1hr 26min
Adaboost Machine Learning Algorithm 1hr 10min
Gradient Boosting 34min
Xgboost Machine Learning Algorithms 1hr 4min
Unsupervised Machine Learning 8min
PCA 1hr 29min
K Means Clustering Unsupervised ML 49min
Hierarchical Clustering 33min
DBSCAN Clustering 26min
Silhouette Clustering 9min
Anomaly Detection Machine Learning Algorithms 38min
Dockers For Beginners 1hr 39min
GIT For Beginners 61min
End To End Machine Learning Project With AWS,Azure Deployment 6hr 16min
End To End MLOPS Projects With ETL Pipelines- Building Network Security System 7hr 41min
MLFlow Dagshub and BentoML-Complete ML Project Lifecycle 1hr 34min
NLP for Machine Learning 6hr 26min
Deep Learning 6hr 44min
End to End Deep Learning Project Using ANN 2hr 17min
NLP With Deep Learning 18min
Simple RNN Indepth Intuition 1hr 43min
End To End Deep Learning Project With Simple RNN 1hr 19min
LSTM And GRU RNN Indepth Intuition 2hr 6min
LSTM And GRU End To End Deep Learning Project- Predicting Next Word 46min
Bidirectional RNN Architecture And Indepth Intuition 23min
Encoder Decoder | Sequence To Sequence Architecture 41min
Attention Mechanism- Seq2Seq Networks 29min
Transformers 6hr 2min
Claude Code- Vibe Coding For Developers 2hr 7min
Role Play 0
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₹8999 ₹9999.00

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8 Live Doubt-Clearing Sessions

After purchase, you'll receive an exclusive group link where we’ll share session schedules, meeting links, and important updates.