Self Paced 2025 - Machine Learning and Deep Learning
Course Instructors:
Innomatics Research Labs, DS Mentor
FREE
Course Overview
Schedule of Classes
Course Curriculum
1 Subject
Self Paced 2025 - Machine Learning and Deep Learning
10 Exercises • 211 Learning Materials
Phase 1 - Machine Learning and Preprocessing Data
Datasets - ML and DL
ZIP
Introduction to the Machine Learning
Video
02:12:11
Introduction to AL, ML and DL
PDF
How to solve ML Problems
Video
02:21:12
How to solve a ML problem & Data Architecture
ZIP
Handling missing values in ml
Video
02:12:03
Restaurant Review Dataset
ZIP
Social_Network_Ads Dataset
ZIP
Data PreProcessing -- Handling Missing Values
ZIP
Data Preprocessing
Video
02:14:48
Data PreProcessing -- Handling Outilers & Removing Unwanted Information
ZIP
Hands on data preprocessing
Video
02:15:00
Data PreProcessing -- Encoding Categorical Data
ZIP
Building a ML Model
Video
02:26:13
Train test split, scaling and Customer Churn Prediction
ZIP
Working with text data -- Sentiment Analysis
Video
02:12:22
Working with text data -- Sentiment Analysis
ZIP
Working with Text Data -- Stemming & Lemmatization / EDA, Bag of words
Video
02:06:18
14th Nov - Working with Text Data -- Stemming & Lemmatization / EDA, Bag of words
ZIP
15th Nov - Sentiment Analysis Use-case
ZIP
Sentiment Analysis Use-case
Video
02:12:59
Working with PIL Images
Video
02:01:05
Working with PIL Images
ZIP
Working with PIL --Images
Video
02:22:22
- Working with PIL --Images
ZIP
MNIST Hand written words
Video
02:16:11
MNIST Dataset JPG Format
ZIP
MNIST -- Hand written digit recognition
ZIP
Mathematical concepts
Video
02:11:15
Mathematical concepts
PDF
Cosine Similarity, Unit Vector, Equation of line
Video
02:16:49
Cosine Similarity, Unit Vector, Equation of line
ZIP
Datasets - ML and DL
ZIP
Phase 2 - Deep Dive into ML Algorithms
Linear Regression
Video
01:47:10
Linear Regression
ZIP
Gradient Decent
Video
02:09:45
50 Startup Dataset
ZIP
Linear Regression Using Gradient Descent
ZIP
Multiple Linear Regression
Video
02:18:06
Building MLR Model
Video
02:09:33
Variance inflation factor
Video
02:14:26
Logistic Regression
Video
02:15:51
Logistics regression for multiclass
Video
02:17:21
Multiple Linear Regression
ZIP
Linear Regression using OLS
ZIP
Linear Regression assumptions
ZIP
Logistic Regression
ZIP
Logistic Regression for Multiclass
ZIP
Polynomial sklearn pipeline
Video
02:14:47
Logistic Regression 2
ZIP
sklearn pipeline
Video
02:21:02
sklearn pipeline
ZIP
KNN
Video
02:09:09
KNN Classification and Regression
ZIP
Soft max SVM
Video
02:22:29
SVM Classification
ZIP
Kernel SVM
Video
02:09:10
Kernel SVM
ZIP
Model selection and Regularization
Video
02:11:42
Kernel SVM & Model Selection
ZIP
Regularization & Bayes Theorem
Video
02:20:47
Regularization & Bayes Theorem File
ZIP
Navie Bayes
Video
02:18:41
Navie Bayes
ZIP
Decision Tree
Video
02:23:29
Decision Tree
ZIP
Decision Tree Regressor
Video
02:14:41
Cross validation
Video
02:13:09
DT for Classification and Regression
ZIP
Decision Tree Regression & Hyperparameters
ZIP
Hyper parametric tunning and metrics for regression
Video
02:13:54
Hyperparameter tuning
ZIP
Hyper parametric Tuning
Video
02:15:37
24thd Dec - Parallel Ensemble
Video
02:19:36
Parallel Ensemble
ZIP
AdaBoost and GBM
Video
02:19:41
AdaBoost and GBM
ZIP
GBM
Video
02:13:00
Ensemble Learning -- Random Forest
ZIP
XG Boost
Video
02:17:45
AUC ROC Score & Ensemble Learning -- Random Forest
Video
01:59:32
Parallel Ensembles -- RandomForest, Voting, Stacking
Video
02:13:17
Materials
ZIP
XGBoost
Video
02:20:35
XGBoost
ZIP
Feature Selection
Video
02:17:02
Feature Selection
ZIP
Phase 3 - Unsupervised Learning
Unsupervised machine learning_ k means clustering
Video
02:16:53
hierarchical and Metrix clustering
Video
02:14:29
hierarchical and Metrix clustering
ZIP
Dimensionality Reduction and PCA
Video
02:27:38
Dimensionality Reduction and PCA
ZIP
n model select_ t - SNE
Video
02:07:32
t-SNE
ZIP
End to End ML Clase Study Broadband
Video
02:34:36
Feature Selection and Feature Transformation File
ZIP
ML - Assignments / Project
Assignment 1 - Model Building for Regression
Assignment
Project 2 : Diamond Data Set
Assignment
Project 3 : Penguin Dataset
Assignment
Project 4 : Telecom Customer Churn
Assignment
Project 5 - Fedex Project
Assignment
Project 6 - Final Project
Assignment
Deep Learning - ANN
Introduction to deep Learning
Video
02:20:48
20th Jan - Introduction to Deep Learning
PDF
21st Jan - Neural Network Learning Process
Video
02:17:25
21st Jan - Neural Network Architecture and Activation Functions
PDF
22nd Jan - Explanation of Neural Network
Video
01:52:07
22nd Jan - Forward and Backward Propagation
PDF
23rd Jan - Churn Modeling
Video
02:07:34
23rd Jan - Bank Churn Prediction using ANN
ZIP
24th Jan - Over Sampling
Video
02:14:52
24th Jan - ANN Hyperparameters and Model Optimization
ZIP
27th Jan - MINST Hand written words
Video
02:12:28
27th Jan - Handwritten Digit Identification using ANN -- Multiclass
ZIP
28th Jan - Gradient Descent and Back Propagation
Video
02:14:44
28th Jan - Gradient Descent
ZIP
29th Jan - Exponential Weighted averages
Video
02:22:26
29th Jan - Backpropagation in Neural Network and EWA
ZIP
3rd Feb - Optimizers -- SGD with Momentum, RMSProp
Video
02:26:42
3rd Feb - Optimizers -- SGD with Momentum, RMSProp
ZIP
Deep Learning - CV
4th Feb - Intro to Images and Image Preprocessing with OpenCV
Video
02:13:47
4th Feb - Intro to Images and Image Preprocessing with OpenCV
ZIP
5th Feb - thresholds in open cv
Video
02:11:25
5th Feb - Image Preprocessing with OpenCV
ZIP
6th Feb - Erosion and dilation
Video
02:11:27
6th Feb - Opencv-Erosion Dilation & Face Detection
ZIP
7th Feb - Intro to Convolutional Neural Network
Video
02:17:57
7th Feb - Intro to Convolutional Neural Network
PDF
8th Feb -
Video
02:45:02
10th Feb - CNN Practical
Video
01:59:03
10th Feb-CNN Practical
ZIP
11th Feb - CNN Practical
Video
02:11:37
11th Feb - CNN Practical
ZIP
12th Feb - CNN Architectures
Video
02:20:18
12th Feb - CNN Architectures
ZIP
13th Feb - CNN Architectures -- VGG Practical
Video
02:17:06
13th Feb - CNN Architectures -- VGG Practical
ZIP
17th Feb - Vanishing and Exploding Gradient Problem
Video
02:12:33
17th Feb - Vanishing and Exploding Gradient Problem
ZIP
18th Feb - CNN ResNet
Video
02:11:00
18th Feb - CNN ResNet
ZIP
19th Feb - Object Detection -- YOLO
Video
02:15:22
19th Feb -- Object Detection -- YOLO
PDF
20th Feb - YOLO Practical
Video
02:15:47
20th Feb -- YOLO Practical
ZIP
21st Feb - PAR Inventory Object Detection Usecase
Video
02:05:42
21th Feb PAR Inventory Object Detection Usecase
ZIP
24th Feb - RNN
Video
02:18:28
25th Feb - Amazon Stock Price prediction using RNN
Video
02:05:49
26th Feb - Amazon Stock Price prediction using RNN-2
Video
02:00:00
28th Feb - GRU
Video
02:10:33
03rd March -- Amazon Stock Price prediction using LSTM
Video
02:06:39
04th March -- Word Embeddings
Video
02:22:09
05th March -- Word2Vec
Video
01:57:19
06th March -- Next Word Prediction
Video
02:20:57
07th March -- Next Word Prediction
Video
01:50:06
10th March - Chatbot using Encoder Decoder
Video
01:57:35
11th March - Chatbot using Encoder Decoder
Video
02:15:38
12th March - Attention Mechanism
Video
02:00:33
13th March -Transformer
Video
02:15:31
15th March -
Video
00:03:12
17th March - Language Translation using Transformer
Video
02:03:47
18th March -Segmentation
Video
02:14:33
18th March -Segmentation
ZIP
19th March - BERT
Video
02:03:52
20th March -
Video
02:13:21
21st March -
Video
01:59:16
25th March - Introduction about deployment, streamlit, huggingface. creating pytho
Video
01:59:02
28th March - DeepLearning Model Deploymetn using Streamlit and Huggingface
Video
02:08:59
26th March - EDA with Streamlit
Video
02:00:21
27th March - ML model Deployment using streamlit and Huggingface
Video
02:12:06
1st April -
Video
01:57:33
2nd April -
Video
01:54:46
Deep Learning - NLP
24th Feb - RNN
Video
02:18:28
24th Feb RNN
PDF
25th Feb - Amazon Stock Price prediction using RNN
Video
02:05:49
25th Feb Amazon Stock Price prediction using RNN
ZIP
26th Feb - Amazon Stock Price prediction using RNN-2
Video
02:00:00
26th Feb Amazon Stock Price prediction using RNN-2
ZIP
28th Feb - GRU
Video
02:10:33
28th Feb -- GRU
ZIP
03rd March -- Amazon Stock Price prediction using LSTM
Video
02:06:39
03rd March -- Amazon Stock Price prediction using LSTM
ZIP
04th March -- Word Embeddings
Video
02:22:09
04th March -- Word Embeddings
ZIP
05th March -- Word2Vec
Video
01:57:19
05th March -- Word2Vec
ZIP
06th March -- Next Word Prediction
Video
02:20:57
06th March -- Next Word Prediction
ZIP
07th March -- Next Word Prediction
Video
01:50:06
7th March -- Next Word Prediction
ZIP
10th March - Chatbot using Encoder Decoder
Video
01:57:35
10th March --Chatbot using Encoder Decoder
ZIP
11th March - Chatbot using Encoder Decoder
Video
02:15:38
11th March - Chatbot using Encoder Decoder
ZIP
12th March - Attention Mechanism
Video
02:00:33
12th March - Attention Mechanism
ZIP
13th March -Transformer
Video
02:15:31
13th March -Transformer
PDF
15th March -
Video
00:03:12
17th March - Language Translation using Transformer
Video
02:03:47
17th March - Language Translation using Transformer
ZIP
18th March -Segmentation
Video
02:14:33
19th March - BERT
Video
02:03:52
19th March - BERT
ZIP
20th March - Introduction to GenAI
Video
02:13:21
20th March Introduction to GenAI
PDF
21st March - Working with OpenSource LLM's
Video
01:59:16
21th March Working with OpenSource LLM's
ZIP
25th March - Introduction about deployment, streamlit, huggingface. creating pytho
Video
01:59:02
28th March - DeepLearning Model Deploymetn using Streamlit and Huggingface
Video
02:08:59
26th March - EDA with Streamlit
Video
02:00:21
27th March - ML model Deployment using streamlit and Huggingface
Video
02:12:06
1st April - SqlQueryGen
Video
01:57:33
1st April SqlQueryGen
ZIP
2nd April - Explore Open source LLMs and Prompting techniques
Video
01:54:46
2nd April Explore Open source LLMs and Prompting techniques
ZIP
Assignments/Projects
Project 1 : ANN
Assignment
Project 2 : CNN
Assignment
Project 3 : Spam and Ham
Assignment
Project 4 - Next Word Prediction
Assignment
Course Instructor
/4540393-Inno_Logo_(150_X_125px).jpg){kind=logo}
Innomatics Research Labs
579 Courses • 36982 Students
/4540392-Inno_Logo_(150_X_125px).jpg){kind=logo}
DS Mentor
244 Courses • 8183 Students
By clicking on Continue, I accept the Terms & Conditions,
Privacy Policy