Pinned Repositories
Bike_Prediction
This project is to predict number of bikes rented in each bike stations with a temporal granularity of one hour.
data_viz_tableau
Data visualisation with tableau. In this project the analysis goals are to find any pattern over time and across countries and to find any relationship between measurements. The file cleary explains the what, why, and how of analysis tasks.
Jeevitha0306
Config files for my GitHub profile.
Jeevitha_Sivadasan_Portfolio
ML_Python
The goal is to build a predictive model for the dependent variable y and find the best bias-variance trade-off. In this project logistic regression is used to train the model.
Prediction-using-Supervised-ML-Linear-regression-
Predicting percentage of students based on the number of study hours. In this task, simple linear regression is used for the predictions as the data has only Two Variables.
Prediction-Using-Unsupervised-ML-Clustering
Task is to predict optimum number of clusters using elbow method.
Jeevitha0306's Repositories
Jeevitha0306/Bike_Prediction
This project is to predict number of bikes rented in each bike stations with a temporal granularity of one hour.
Jeevitha0306/data_viz_tableau
Data visualisation with tableau. In this project the analysis goals are to find any pattern over time and across countries and to find any relationship between measurements. The file cleary explains the what, why, and how of analysis tasks.
Jeevitha0306/Jeevitha0306
Config files for my GitHub profile.
Jeevitha0306/Jeevitha_Sivadasan_Portfolio
Jeevitha0306/ML_Python
The goal is to build a predictive model for the dependent variable y and find the best bias-variance trade-off. In this project logistic regression is used to train the model.
Jeevitha0306/Prediction-using-Supervised-ML-Linear-regression-
Predicting percentage of students based on the number of study hours. In this task, simple linear regression is used for the predictions as the data has only Two Variables.
Jeevitha0306/Prediction-Using-Unsupervised-ML-Clustering
Task is to predict optimum number of clusters using elbow method.