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Exploratory-Data-Analysis-on-Haberman-s-Survival-Data-Set
Using EDA, Haberman's Survival Data Set has been explored in this repository.Tkinter-Tutorials
Contains Tkinter tutorialsExploratory_Data_Analysis_EDA_on_IRIS_Data_Set
Using EDA, IRIS Data Set, one of the oldest data sets created in 1936, has been explored in this repository.Website-resources
Necessary resources for work.OpenCV-Tutorials
Contains OpenCV tutorialsAdventureWorks
Data analysis is performed and various dashboards are prepared in Tableau.Big_Data_Technologies
*This repository is under construction* This repository is an introduction to Big-Data Technologies such as PySpark, Data Lakes, etc.Self_Driving_Car_Project
A self driving car has been implemented in this repository using Convolution Neural Network, a deep learning architecture.Data_Analysis
This repository contains various projects for data analysis.Facebook_Friend_Recommendation_Project
Built ML models that recommend new friends to a user.Repo_Resources
This repository contains various resources such as images, pdfs , etc. required for building other repositories.Natural_Language_Processing
The foundations of NLP are discussed in this repository.Food_Reviews_Project
Using NLP techniques, Machine Learning models are built that can classify the reviews into being positive or negative.Recommendation-Engine
A simple recommender engine is created using the Turicreate library.Deep_Learning
This repository explains various concepts in Deep Learning through project implementation in Tensorflow using Keras.PCA
This repository explains PCA, a dimensionality reduction technique, and shows its implementation on the MNIST dataset to reduce its dimensionality from 784-d to 2-d so that it could be visualized 2-d.t-SNE
This repository explains t-SNE, a dimensionality reduction technique, and shows its implementation on the MNIST dataset to reduce its dimensionality from 784-d to 2-d so that it could be visualized 2-d.Machine_Learning_Algorithms
This repository explains various Machine Learning algorithms and their implementation in sklearn in the form of projects.Love Open Source and this site? Check out how you can help us