Vikrant thakur's Projects
The objective of the project is to train a machine learning algorithm on the dataset to successfully predict fraudulent transactions. We will have a simple dataset of 6-7 columns which we will first process in the given steps: 1) Load Data 2) Explore Data 3) Clean and Filter Data 4) Validate Data 5) Create Model 6) Visualize results So let dive into the project.
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Image_segmentation_for _self_driving_cars
Now that this year's IPL is over, let's not curb our cricket love and start analyzing the whole of IPL with this latest and complete Indian Premier League dataset. It contains the match descriptions, results, winners, player of the matches, ball by ball dataset and much more. So, stop thinking and start analyzing . Content This dataset consists of three separate CSV files : matches and deliveries. These files contain the information of each match summary and ball by ball details, respectively.
This is a simple login system with mysql workbench as the backend.
This app is developed in Pycharm using Python programming language and its Tkinter library. MySQL is the base database for our project which displays related movies to users choice.
A simple Python movie recommendation system based on user's choice and it's related data into mysql workbench.
Quantium Data Analytics Virtual Experience Program :
Used Tools like Google colab, Rasa, Python and spacy library Spacy was used as Rasa part to perform NLP The Chatbot was based on solving queries related to hotel management The training data was provided in intent file format
This is a data analysis project where the dateset on titanic survival of people is available on kaggle. We will analyse the data to understand what decided the survival chances of nay random person.
This mobile application is a platform for girls or ladies to get trained online using our smart features for protecting them self in emergency situations and also to make a community for fighting the odds of the society
This is an andoid application
This project is build with the help of NetBeans and MySQL workbench using Java. It provides users with the information of pro-wrestlers from WWE or AEW with the help of 3D charts. Its inclues Login page and data retrival page from MySQL workbench also.