Abhijeet_singh's repositories
Online-Service-Center-System
Online service center system created using Django framwork and MySQL database to help the customers register the product,add repair requests,register complaints and view their activity
bank-statement-analysis
Bank statement analysis for fraud detection
Bus-Reservation-System
Bus-Booking-System is web-dev project implemented using Django framework(Python) and SQLite Database. Deployed using AWS EC2 Instance. Server is configured on my machine. so i need to host ( establish remote connection) before you can access.
Song-Lyrics-Scrapper
The Given Project is a song lyrics scrapper tool created using BeautifulSoup ,Tkinter and Selenium webdriver.
Design-and-Analysis-of-Algorithms-codes
This repository contains the codes of DAA - 3rd year Engineering (SPPU)
sigma_coding_youtube
This is a collection of all the code that can be found on my YouTube channel Sigma Coding.
Travel-Guide-for-Kochi
Here is the Prototype for the Travel guide for a Tourist Visiting to kochi....Created during Kochi STAMP data challenge
auto-py-to-exe
Converts .py to .exe using a simple graphical interface
Python-Automated-tool-to-convert-Plain-Text-to-Formatted-text-using-Pygments
Tool written in python to convert the plain python code text to the formatted text in many styles like - autumn', 'borland', 'bw', 'colorful', 'default', 'emacs', 'friendly', 'fruity', 'manni', 'monokai', 'murphy', 'native', 'pastie', 'perldoc', 'rrt', 'tango', 'trac', 'vim'
GUI-Registration-Form-Using-Tkinter
GUI Registration form created using Tkinter GUI toolkit in python that takes the data from the users,performs necessary validations and stores the data into the .xlsx file
Spam-Ham-Messages-classification-using-NLP
SPAM/HAM messages classification using Natural language processing and Naive bayes classifier
private-public-university-prediction-using-colleges_dataset-by-K-2-means-clustering
For this project i have used KMeans Clustering to cluster Universities into to two groups, Private and Public.
Loan-prediction-using-Decision-Tree-Model-and-Random-Forest-Model
In this i have analysed and visualized the loan dataset and converted its categorical feature like purpose of taking the loan to the dummies and trained the dataset using Decision Tree Model and Random Forest model then i have perform prediction on test data for both Decision tree model and Random forest model separately In Random forest model i have no. of estimators(Trees) as 350 on comparison of classification report it was observed that Random forest did it better
classification-using-KNN-model_
Here, i have taken a typical dataset and trained it to predict for the classification where the object actually belongs to using sckit learn Kneighbours classifier and concluded the overall prediction using confusion matrix and classification report!
Titanic-Survival-Prediction
Here i have taken a titanic dataset and i have cleaned the dataset first to make it suitable for training by using imputation and eliminating categorical features to The dummy columns and trained the model to predict the survival of the passengers using The Logistic regression model !
USA-Housing-prediction_
Here is the USA Housing prediction where i have taken a typical data based on Housing and used Linear Regression Model To predict the Housing Price
fashion-mnist
A MNIST-like fashion product database. Benchmark :point_right: