Kapil Thakre (kapilthakre)

kapilthakre

Geek Repo

Location:Bhopal, Madhya Pradesh, India

Home Page:https://www.youtube.com/techstorenut

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Kapil Thakre's repositories

Predicting-the-Price-of-Used-Cars

To be able to predict used cars market value can help both buyers and sellers. So In this Project, we are going to predict the Price of Used Cars using various features.

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Recommendation-System

Building a movie recommendation System using three way, Popularity based recommendation system, Content based recommendation system, Collaborative filtering based recommendation system.

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Bicycle-Sharing-Demand-Forecasting-Using-Spark-Scala

In this project, we are going to build a Bicycle sharing demand prediction service using Apache Spark and Scala. I have created a two spark application one for model generation and another for model demand prediction.

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Census-Income-Prediction

Building a Classification model to predict whether a person's annual Income is more than $50K or below $50K

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COVID-19-Analysis-and-Prediction

The main focus is to analyze the spread trend of this virus In India and all over the world. And Predicting the India COVID-19 cases using Prophet.

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Sentiment-Analysis-of-Restaurant-Reviews

The purpose of this analysis is to build a prediction model to predict whether a review on the restaurant given by customers is positive or negative.

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helm-charts

custom helm charts

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Jenkins-simple-webapp

This repository contains a index.html, a Dockerfile, and jenkin script. Sample data for creating simple CI/CD Pipeline using Jenkins.

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JenkinsFile-Script

In this repo you can find declarative and scripted pipeline files for learning purpose.

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Real-Time-Face-Mask-Detector

Built a face mask detection system using Python, Keras/Tensorflow API, and OpenCV. This face mask detection application takes input as real-time video or image and first it determines if there are any faces in the video or not. if there is, it predicts whether that face has worn a mask or not.

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Solidity-Code-Scan-Using-Smart-Check

Solidity Code Scan Using Smart Check.

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Test-CI-CD-Pipeline-on-Wine-Dataset

Continuous Machine Learning

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