Loveleen Amar's repositories
Proto-Swiggy
Web application
40016945_Individual_Assignments
For individual assignments-ltts
Basic_application_of_Flask
This repository consists of a classification Problem in which decision Tree is used to classify different flowers based on some features given.Flask is used to make the interface. Basic use of flask.
Binary-classification-of-handwritten-digits
This is an ML project which uses SGD Classification model to Classify the different handwritten digits, The ipnb file also has the calculation of F1 Score, precision, recall. Here cross validation is done both by using Library method as well as by scratch. ROC Curve (Receiver Operating Characteristic Curve) has also been done as it is very important measure of performance of binary classifiers)
Codes
Contains C code for various algoritms
coding-interview-university
A complete computer science study plan to become a software engineer.
Cryptography
Some Cryptography Algorithm's implementation
Data-Structures
Programs made in ADS class
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Image-cleaning-
In the MNIST dataset we are cleaning the digit's image using KNN
loveleen.github.io
A CV generator/template using Github pages & Jekyll
LTTS-SDLC-UNIT
SDLC Unit- Object Detection API
Mini_Project-Facial_Keypoints_Detection
The task: The objective of this task is to predict keypoint positions on face images. Detecing facial key points is a very challenging problem.
Mini_Project-Predict_CreditCard_Customer_Attrition
The objective of this task is to determine the probability of attrition of an account holder within the next six months.
Mini_Project_Titanic_Disaster
Our aim in Titanic Dataset is to predict the survival status of passengers.
Object-Detection-API
This project introduces an API for object detection. The server will do all the heavy work for the client even if client has low-end system. This API can be used by anyone for the object detection task freely. An image clicked/selected by the client will be sent to the API end-point in specific format and then API would do the object detection task and send back the object detected image. The received image will be obtained by the client with different objects classified within that image. YOLO v3.0 algorithm is used in the backend that would perform the object detection task.
Operating-System-
Codes and algorithms used in Operating System done in 4th Semester
RESUME-Loveleen_Amar
Resume-in Latex
Stratified-Splitting-and-using-Pipeline-concept-for-data-pre-processing
Here the ipnb file contains python code for Stratified splitting which is a very important splitting method and then the data preprocessing is done using Pipeline Concept
WEB_DEV-Calculator
Simple Calculator using Javascript ,Html, CSS
WEB_DEV-WORDPLAY-Page
A web program for counting the number of words entered in the input string, number of characters it contain and the frequency of each word in that string
Yelpcam
Project done on Web development while learning Node.js( Part of the web-dev bootcamp )