Machine Learning & Deep Learning Projects

Overview

This course teaches learners how to build various machine learning and deep learning projects, including creating a contextual chatbot using TensorFlow, performing sentiment analysis using LSTM models and Flask web apps, developing an image captioning deep learning model, implementing speech recognition, customer segmentation, customer lifetime value calculation, language translation, churn prediction, clothing image prediction web app using CNN, facial expression detection in real-time, and face mask detection alert system using OpenCV and Keras. The course covers a range of tools and skills such as TensorFlow, LSTM models, Flask, VGG16 model, K-means clustering, Google API, CNN models, and OpenCV. The teaching method involves hands-on tutorials, coding demonstrations, and step-by-step guides. This course is intended for individuals interested in practical applications of machine learning and deep learning, such as data scientists, machine learning engineers, and AI enthusiasts.

Syllabus

How to Build a contextual Chatbot using Tensorflow - Introduction.
How to Build an Amazing contextual Chatbot using Tensorflow - Part 2 | NLP Concepts.
How to Build an amazing Contextual Chatbot using Tensorflow - Part 3 | Develop Neural Network Model.
How to Build an Amazing Contextual Chatbot using Tensorflow - Part 4 | See Chatbot in Action.
How to Build an amazing Contextual Chatbot using Tensorflow | Add context to Chatbot conversation.
Sentiment Analysis using LSTM model & Flask web app - Introduction & Demo.
Sentiment Analysis using LSTM model & Flask web app | LSTM Python Code.
Sentiment Analysis using LSTM model & Flask web app | LSTM Python Code Part - 2.
Sentiment Analysis using LSTM model & Flask web app | LSTM Python Code Part - 3.
Sentiment Analysis using LSTM model & Flask web app | Flask Code Part - 1.
Sentiment Analysis using LSTM model & Flask web app | Flask Front End Part - 2.
Sentiment Analysis using LSTM model & Flask web app | Flask Front End Part - 3 | Run in Browser.
Deploy Sentiment Analysis Web App on Cloud | Flask App deployment on Heroku - Introduction.
Deploy Sentiment Analysis Flask Web App on Heroku | Implementation Steps Part - 1.
Deploy Sentiment Analysis Flask Web App on Heroku | Implementation Steps Part - 2.
Image Captioning Deep Learning Model | Generate Text from Image | Introduction & Demo.
Image Captioning Deep Learning Model | Re-structure VGG16 Model | Coding Part - 1.
Image Captioning Deep Learning Model | Convert Image Descriptions into Vocabulary | Coding Part - 2.
Image Captioning Deep Learning Model | Load prepared Images and Descriptions | Coding Part - 3.
Image Captioning Deep Learning Model | Description Tokenization & Numeric Mapping | Coding Part - 4.
Image Captioning Deep Learning Model | Merge VGG16 & LSTM Models | Coding Part - 5.
Image Captioning Deep Learning Model | Train Model Progressively on Less Memory | Coding Part - 6.
Image Captioning Deep Learning Model | Evaluate Model using BLEU Score | Coding Part - 7.
Image Captioning Deep Learning Model | See the Model Prediction Demo | Coding Part - 8.
Step by Step Guide to Convert Color Image to Pencil Sketch.
Speech Recognition Hands-on Tutorial using Python | Speech to Text Translation | Introduction.
Speech Recognition Hands-on Tutorial using Python | Working with Audio Files | Code Part-1.
Real Time Speech Recognition | Speech to Text using Google API | Speech Recognition Noise Reduction.
Real Time Speech Recognition to Search & Play Youtube Video | Hands-on Project.
Customer Segmentation using RFM K-Means & Python | Who are your Loyal Customers ?.
Customer Segmentation using RFM Modelling | Who are your Loyal Customers?.
K-means Clustering for Customer Segmentation | Data Normalization & Standardization.
KMeans Clustering for Customer Segmentation | Build the K-Means Model.
Customer Lifetime Value Calculation | Introduction and Intuition | Customers giving most Profit.
Customer Lifetime Value Calculation | Python Code Part-1 | Find Customers with most Profit.
Customer Lifetime Value Calculation | Python Code Part-2 | Develop BG/NBD Model.
Customer Lifetime Value Calculation | Python Code Part-3 | Train Gamma Gamma Model for CLV.
Build Language Translator using Python and Google API | Language Translation Model.
How to do Churn Prediction of Customers? | Python Code Part - 1.
How to do Churn Prediction of Customers? | Python Code Part - 2.
Build an Image Recognition Clothing Prediction Web App using CNN - DEMO.
Build Clothing Image Prediction CNN Web App | CNN Model Part-1.
Build Clothing Image Prediction CNN Web App | CNN Model Part-2.
Build Clothing Image Prediction CNN Web App | CNN Model Part-3.
Build Clothing Image Prediction CNN Web App | Flask App.py - Part 1.
Build Clothing Image Prediction CNN Web App | Flask App.py - Part 2.
Build Clothing Image Prediction CNN Web App | Home.html & Predict.html.
Detect FACIAL EXPRESSION in Real Time and PLAY related YOUTUBE Video - Part 1.
Detect FACIAL EXPRESSION in Real Time and PLAY related YOUTUBE Video - Part 2.
Detect FACIAL EXPRESSION in Real Time and PLAY related YOUTUBE Video - Part 3.
Build FACE MASK DETECTION ALERT SYSTEM OpenCV Keras - Part 1 | Face Mask Detection system CNN Model.
Build FACE MASK DETECTION ALERT SYSTEM OpenCV Keras - Part 2 | Face Mask Detection system CNN Model.
Build FACE MASK DETECTION ALERT SYSTEM OpenCV Keras - Part 3 | Face Mask Detection system CNN Model.