shikhnu Goto Github PK

a-sentiment-analysis-case-study-using-logistic-regression

analysis-on-instagram-data

Tried to analyze the likes that I have given to posts on Instagram. I have done simple Exploratory Data Analysis.

blackfridaysalesprediction

covid19-tweets-eda-visualization-wordcloud

credit-card-default-propensity-prediction

Objective – Predict the probability of a customer defaulting payment for the credit card the subsequent month, based on past information. The past information is provided in the dataset. This probability will help the collections team to prioritise follow up with customers who have a high propensity of defaulting.

datasets

deploying-ml-model-using-flask

Created the Cesarean Classification model using Logistic Regression and Deployed on local hostel using Flask.

dt-classifier---iris-dataset

For the given ‘Iris’ dataset, create the Decision Tree classifier and visualize it graphically. The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.

early-stage-diabetes-risk-prediction

This repository contains the dataset and a python file. The python file contains basic EDA, Label encoding, and Modelling using Logistic Regression. ROC analysis is also included.

eda-amazon-top-50-bestselling-books

eda-of-lok-sabha-election-results-2014

Have done basic EDA on the dataset. Analyzed the data and found interesting information.

ensemble-learning-stacking-algorithm

With Framingham Heart study dataset, I are going to predict if a person will have CHD(Coronary Hear Disease). For this I am using algorithms like Logistic, Decision Tree, Random Forest, K-NN. I have also used Stacking as ensemble algorithm.

exploratory-data-analysis-eda-

Basic EDA with Tips dataset

house-prices-advanced-regression-techniques

Using XGBoost and LGBM with Feature Engineering for the House Prices dataset.

hr-analytics

Your client is a large MNC and they have 9 broad verticals across the organization. One of the problems your client is facing is around identifying the right people for promotion (only for the manager position and below) and prepare them in time. Now, The task is to predict whether a potential promotee at a checkpoint in the test set will be promoted or not after the evaluation process.

ilpdataset

in-quiz-questions

Linkedin quiz assessment, answers and questions (aws-lambda, rest-api, javascript, react, git, html, jquery, maven, mongodb, xml, java, css, python ...) ответы на квиз

janatahack-healthcare-analytics-ii

The task is to accurately predict the Length of Stay for each patient on case by case basis so that the Hospitals can use this information for optimal resource allocation and better functioning. The length of stay is divided into 11 different classes ranging from 0-10 days to more than 100 days.

marks-scored-using-linear-regression

netflix-data-analysis-and-visualization

This dataset consists of tv shows and movies available on Netflix as of 2019. The dataset is collected from Flixable which is a third-party Netflix search engine.

pubg-battleroyal-finishplacementprediction

You are given over 65,000 games' worth of anonymized player data, split into training and testing sets, and asked to predict final placement from final in-game stats and initial player ratings.

slr-with-ecommerce-dataset

supervised-learning---regression

tsf-internship

Different tasks assigned during the internship @ TSF

unsupervised-machine-learning---clustering-iris-dataset-