About Lesson
Introduction to Data Analytics, Data Science, AI, ML Roadmap
0/2
Induction Classes
0/6
Mastering Python[Zero to Hero]
0/30
Applied Statistics
0/40
Mastering Excel
0/22
Statistics with Real-Time Project Demonstration on EDA
0/4
Real-Time Project Demonstration on Probability Distribution, Hypothesis Testing
0/8
Real-Time Project Demonstration on Data Analysis Using Excel
0/1
Real-Time Project Demonstration on Data Analysis Using Power BI & MYSQL
0/4
Real-Time Project Demonstration on Data Analysis Using Tableau
0/1
Mastering MySQL
0/9
Advanced MYSQL
0/15
Mastering Tableau[Zero to Hero]
0/11
Mastering Power BI[Zero to Hero]
0/27
Unsupervised Learning with Real-Time Projects
0/9
Feature engineering Techniques
0/28
Supervised Learning Algorithms
0/34
Probability Distributions, Hypothesis Testing
0/8
Mastering NLP, NLU, NLG
0/6
Pyspark: BigData Processing
0/15
MongoDB Mastering
0/10
Real-Time Projects to Work as Part of Job simulation
0/11
ML Deployment & MLOps
0/14
Advanced Time Series with Real-Time Projects
0/7
Azure Machine Learning Engineering
0/10
AWS Sagemaker Studio
0/2
Hadoop
0/4
Hadoop MapReduce
0/5
HIVE Database
0/3
Deep Learning, Tensorflow & keras
0/7
Computer Vision Mastering Using Tensorflow
0/9
Transfer Learning OpenCV & YOLO
0/5
R Programming
0/10
Interview Questions: Frequently Asked Statistics
0/10
MindMap for Interview Revision
0/11
Interview Preparation
0/5
Course Files
0/1
Handwritten Notes
0/2
Introduction to Deep Learning & Tensorflow
0/8
Feed Forward Neural Network Coding
0/5
Convolution Neural Network – Math & coding
0/12
RNN & LSTM Coding & Math
0/8
Mastering NLP
0/13
Mastering NLU
0/17
Transformer Models BERT, T5, ELMO
0/14
Natural Language Generation Using GPT
0/7
Vision Transformers
0/2
MLOps for Transformer Models
0/4
Autoencoders
0/4
Generative Models
0/10
Deep Reinforcement Learning
0/17
AWS Sagemaker Deployment & Project
0/1
Real-Time Projects
0/1