Explore a comprehensive collection of data science projects covering a wide range of applications and techniques. Learn to implement deep learning in medical science, build movie recommender systems, predict stock prices using LSTM, create custom Alexa skills, perform principal component analysis, and develop gender classifiers and age estimators. Gain hands-on experience with OpenCV, Raspberry Pi, linear regression, DBSCAN clustering, and Flask deployment. Dive into practical projects such as heart disease prediction, lung disease detection, stock sentiment analysis, credit card fraud detection, and malaria disease detection using machine learning and deep learning techniques. Master hyperparameter optimization for XGBoost and tackle real-world problems like credit card risk assessment and diabetes prediction using datasets from Kaggle.
Overview
Syllabus
Deep Learning in Medical Science.
Complete Life Cycle of a Data Science Project.
Movie Recommender System using Python.
Stock Prediction using LSTM Recurrent Neural Network.
Artificial Neural Network for Customer's Exit Prediction from Bank.
OpenPose Tutorial with Tensorflow.
Create custom Alexa Skill- Intent Interface- Part1.
Create custom Alexa Skill- Lambda function- Part2.
Principle Component Analysis (PCA) using sklearn and python.
PySpark Tutorial for Beginners | Apache Spark with Python -Linear Regression Algorithm.
Creating a Dataset and training an Artificial Neural Network with Keras.
Gender Classifier and Age Estimator using Resnet Convolution Neural Network.
Unlock Your Application With Your Face using OpenCV.
Setting up Raspberry pi 3 B+.
Linear Regression Mathematical Intuition.
DBSCAN Clustering Easily Explained with Implementation.
Deployment of Deep Learning Model using Flask.
How to Visualize Multiple Linear Regression in python.
Predicting Heart Disease using Machine Learning.
Predicting Lungs Disease using Deep Learning.
Stock Sentiment Analysis using News Headlines.
Credit Card Fraud Detection using Machine Learning from Kaggle.
Hyperparameter Optimization for Xgboost.
Credit card Risk Assessment using Machine Learning.
Diabetes Prediction using Machine Learning from Kaggle.
Malaria Disease Detection using Deep Learning.
Taught by
Krish Naik
