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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

Description:

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.

Data Science Projects

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#Data Science #Computer Science #Machine Learning #Deep Learning #Programming #Programming Languages #Python #TensorFlow #Flask #Big Data #Apache Spark #Keras #Artificial Intelligence #Computer Vision #OpenCV

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