hemin19 Goto Github PK

5-days-live-eda-and-feature-engineering

car-prediction

I apply RandomForest to car prediction dataset

covid_19-dataset-analyzing-

I used multiple data set of covid 19 and analyzing and i do some visualization tools like matplotlib, seaborn, datetime etc.

customer-segmentation-using-k-means-clustering

This Project is about Customer Segmentation using K-Means Clustering. This is an important example of Market Basket Analysis in Machine Learning and Data Science.

data-analysis-zomato

decision-tree-algorithm

ensemble-technics-

I predict the titanic dataset using Ensemble Technics and also applied EDA to Analyze. In Ensemble techniques, I applied RandomForest, XGBoost, etc

hemin19

Config files for my GitHub profile.

identifying-potential-customers-for-loans

To predict the likelihood of a customer buying personal loans. Applied EDA, data cleaning, followed by supervised and ensemble learning techniques to convert the bank’s liability customers to personal loan customers. Techniques: Logistics Regression, Decision Trees, Random Forests, XGBoost.

image-to-pencil-sketch-with-python

Image implementation using python by Jupyter Notebook

linear-regression

ml-project---humanitarian-supply-chain-network-indonesian-red-cross-society-

spotify-music-recommendation-system-for-different-users-top-playlist-for-each-years

As a data analyst team at Spotify, you are responsible for managing multi-user accounts, also known as family accounts. These accounts are associate with a single subscription for multiple users, who retain the ability to create their own playlists and access personal music statistics.