Atharva Kasodekar's Projects
Building A Logistic Regression in Python, Step by Step - Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable. In logistic regression, the dependent variable is a binary variable that contains data coded as 1 (yes, success, etc.) or 0 (no, failure, etc.). In other words, the logistic regression model predicts P(Y=1) as a function of X.
Config files for my GitHub profile.
Resume using HTML and basic CSS
This Website is designed and build to simplify the online admission process at the institute level.
Data Wrangling techniques for practice
This Repo is part of git learning tutorial
Javascript Practice
JSON files are stored to fetch data
Liveliness authentication to predict photo of photo Vs. Live photo using Image Processing
Achieved an arrangement to predict the price of a cellphone based on its specifications through four classification algorithms i.e Random Forest Classifier, Naïve Bayes, KNN classifier, and SVM classifier
RedRibbon website is for blood donation for both donor and recipients.
This project presents finger movement gesture detection on our computer’s window using camera & handling the whole system by just moving your one finger.