Aditya-Mishra19/OOPS_codePy

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Aditya-Mishra19/OOPS_codePy

Aditya-Mishra19

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OOPs explanation by AAIC in python code.

TCS-NQT-2024-Coding-Solutions

Strings

On-campus-Preparation-question

Quora-Question-Pair-Similarity

Real time dataset. Solving Business problem using Exploratory Data Analysis and implementing machine learning model.

Jupyter Notebook

Udemy_ML_Learning

All models that I practiced while learning.

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Support_Vector_machine-SVM-

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Amazon-Food-Reviews-ML-MODELS-

In this Amazon Food Reviews (ML MODELS) repo I have implemented machine learning models . I use my whole knowledge to built . (NOTE : FEW MODELS HAVE LESS ROC_AUC_SCORE DUE TO CONSIDERING LESS DATA)

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Loan_Prediction-ML-Model-

I participated In analytics vidya hackathon. Got 3011 rank out of 70k+ participants. I used Logistics regression to solve the problem statement

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Recommedation_movies_Model

This is a model which recommend movies , on the bases of reviews and ratings

Data-Structure-Alogrithm

K_means-Clustring

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website

Amazon-Food-Reviews-data-set-ML-Algo-

This contains all ML algorithm that I implemented to get outputs.

Ecommerce-Customers

This is Ecommerce Customers project where I handle some bunch of problems using Pyhton language.

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Recommendation_movies_model

Model which recommend movies on the basis of ratings and reviews

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Aditya-Mishra19

USA_housing-Prediction

This is mostly just code for reference. Please watch the video lecture for more info behind all of this code.** Your neighbor is a real estate agent and wants some help predicting housing prices for regions in the USA. It would be great if you could somehow create a model for her that allows her to put in a few features of a house and returns back an estimate of what the house would sell for. She has asked you if you could help her out with your new data science skills. You say yes, and decide that Linear Regression might be a good path to solve this problem! Your neighbor then gives you some information about a bunch of houses in regions of the United States,it is all in the data set: USA_Housing.csv.

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Natural-Language-Processing-Project

Welcome to the NLP Project for this section of the course. In this NLP project you will be attempting to classify Yelp Reviews into 1 star or 5 star categories based off the text content in the reviews. This will be a simpler procedure than the lecture, since we will utilize the pipeline methods for more complex tasks.

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GigPay

Prediction_model-Advertisemnt-

In this project we will be working with a fake advertising data set, indicating whether or not a particular internet user clicked on an Advertisement. We will try to create a model that will predict whether or not they will click on an ad based off the features of that user.

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