Exploring a music dataset by examining correlations between numerical variables, running a principal component analysis for dimensionality reduction and finally fitting both scikit learn Decision Tree Classification and Logistic Regression models to compare their performance.

Titanic Survivor Analysis and Prediction

Model-Validation-Methods

K Nearest Neighbours in Python

A model which can predict if the customer will pay the loan or not.

This is a Kaggle Dataset where we classify the cars using their various features. Here I used plotly to visualize the Accuracy Scores. Also I used CrossValScore to get More accurate Accuracy Score.

In this classification i got up with best model for the iris flower data set and i used to code and made my own classification model. tried to visualize dataset and perform train test split as test data and train data by this i came up on Understanding the Evaluation metrics and accuracy score which given Understanding the hands on implementatio…

pipelines chains together multiple steps so that the output of each step is used as input to the next step

This folder contains project assignments that solve the problem of a case based on a dataset with hypothesis testing, Supervised and Unsupervised material.

Using various supervised learning estimators in Sci-Kit Learn to get the best prediction accuracy if possible for the pima indians dataset.

Overcoming overfitting and underfitting

GridSearchCV For Model optimization

GridSearchCV, RandomSearchCV For Model optimization and Saving/Loading the model

Study Project for Yandex Practicum

Prediction Model, Bias and Uncertainty

Different types of supervised learning models used for classification problem. Included cross validation for finding hyperparameters whenever necessaruy.