Aastha Kashyap's repositories
FISH-WEIGHT-ESTIMATION-ML
MULTIPLE LINEAR REGRESSION MODEL FOR WEIGHT ESTIMATION FROM MEASUREMENTS OF THE FISH
Airlines-Analysis-project-HADOOP
This project involves analysing the airline datasets to solve the problem statements using HADOOP.
Diabetes-Prediction
Diabetes Prediction using logistic regression
Dog-and-Cat-classifier-CNN
Classifying Dog and Cat using CNN on Tensorflow 2.x
Football-Player-Segmentation-R
Use kmeans clustering algorithm to check how the football players groups based on common attributes or similar interests.
HamSpamClassification
HamSpamClassification using naive Bayes
Heart-Disease-Prediction-ML
In this case study, we experiment with the heart disease dataset to explore the machine learning algorithms and build an optimum model to predict the disease.
Housing-Price-Prediction-ML-
Linear Regression - House Price Range Prediction
Kmeans-Clustering
Kmeans Clustering for cust_data
PCA-for-house-price-dataset
Dimension Reduction Techniques (PCA)
Sales_of_Furniture-time-series-
Forecasting the Sales of a Furniture store
Single-Layer-Perceptron-Neural-Networks
Digit Recogniser using Single Layer Perceptron
Student-Admission-Prediction-classification-
Predict a students chance to get into a particular university using decision tree
Students-Academic-Performance-Prediction-Logistic-Regression
Students Academic Performance Prediction Case Study using logistic regression in ML
Telecom-Customer-Churn-in-R
Find out the most striking behaviour of customers through EDA and later on use some of the predictive analytics techniques to determine the customers who are most likely to churn.
Time-Series_-Stock-price
Forecasting the stock price
Vehicle-Performance-Prediction
Vehicle Performance Prediction with SGD.