ayushikansara1110

Rock_vs_Mine_Prediction

Practice project wherein i trained a pre-made logistic regression model using sonar data in order to predict whether the entered datapoints correspond to a rock or to a mine

Diabetes_Prediction

Practice project for machine-learning wherein a logistic regression model has been trained with diabetes data in order to predict whether a certain person has diabetes or not

Python-Virtual-Assistant

House-Prices-Prediction

practice project wherein i trained an XGBoost Regressor model in order to predict house prices based on the toy dataset "Boston House Prices." This is a regression type problem and hence i have used r squared error and mean absolute error to determine the accuracy of the trained model

Image_Classifier_using_CNN

Created a tensorflow dataset and built a CNN model to classify the images

Health_App_

cursorrrr

Dice-Gamee

functional website with a dice game that re-rolls with every refresh

Facial-Emotions-Detection

Develop a system that can recognize and classify facial expressions in images or real-time video.

forage-jpmc-swe-task-1

Starter repo for task 1 of the JPMC software engineering program

ayushikansara1110/Facial-Emotions-Detection

Develop a system that can recognize and classify facial expressions in images or real-time video.

ayushikansara1110/Speech-Recognition

Task #1 of the codeclause AIML internship. Built a speech recognition app that records what you're saying into a .wav file and then uses the AssemblyAI API to transcribe the audio. The final output of this script is the transcription output.

ayushikansara1110/Health_App_

ayushikansara1110/Image_Classifier_using_CNN

Created a tensorflow dataset and built a CNN model to classify the images

ayushikansara1110/forage-jpmc-swe-task-3

Starter repo for task 3 of JPMC's Forage program

ayushikansara1110/forage-jpmc-swe-task-1

Starter repo for task 1 of the JPMC software engineering program

ayushikansara1110/forage-jpmc-swe-task-2

Starter repo for task 2 of JPMC's forage program

ayushikansara1110/Git

practicing git

ayushikansara1110/House-Prices-Prediction

practice project wherein i trained an XGBoost Regressor model in order to predict house prices based on the toy dataset "Boston House Prices." This is a regression type problem and hence i have used r squared error and mean absolute error to determine the accuracy of the trained model

ayushikansara1110/Diabetes_Prediction

Practice project for machine-learning wherein a logistic regression model has been trained with diabetes data in order to predict whether a certain person has diabetes or not

ayushikansara1110/Rock_vs_Mine_Prediction

Practice project wherein i trained a pre-made logistic regression model using sonar data in order to predict whether the entered datapoints correspond to a rock or to a mine

ayushikansara1110/random-colour-generator

ayushikansara1110/Python-Virtual-Assistant

ayushikansara1110/meditation-app

Meditation app tutorial

ayushikansara1110/MatchMaking-Program-using-C

Semester 2 mini project for c programming. Built a matchmaking program with my team that compares certain metrics and preferences entered by the user and returns the best match

ayushikansara1110/cursorrrr

ayushikansara1110/Dice-Gamee

functional website with a dice game that re-rolls with every refresh

ayushikansara1110/website