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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.Udemy_ML_Learning
All models that I practiced while learning.Support_Vector_machine-SVM-
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)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 statementRecommedation_movies_Model
This is a model which recommend movies , on the bases of reviews and ratingsOOPS_codePy
OOPs explanation by AAIC in python code.Data-Structure-Alogrithm
K_means-Clustring
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.Recommendation_movies_model
Model which recommend movies on the basis of ratings and reviewsAditya-Mishra19
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.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.Love Open Source and this site? Check out how you can help us