Orkhan-Bakir/Employee-Attrition

Stars
1
Language
Jupyter Notebook
Created about 3 years ago
Updated about 3 years ago

Orkhan-Bakir/Employee-Attrition

Orkhan-Bakir

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Predicting Employee Attrition in Python.

Movie-Recommendation-with-ML

In this Data Science project, you will see how to build a basic model of simple as well as content-based recommendation systems.

Jupyter Notebook

Pfizer-Analysis

The dataset that I am using for the task of Pfizer vaccine sentiment analysis is downloaded from Kaggle, which was initially collected from Twitter when people were sharing their opinions about the Pfizer vaccine. Let’s start the task of Pfizer vaccine sentiment analysis by importing the necessary Python libraries and the dataset:

Jupyter Notebook

Fifa-Analysis

The Federation Internationale de Football Association (FIFA)

Jupyter Notebook

Ecommerce_and_customers-ML-using-Sklearn-

Analysis and prediction using ML (Sklearn)

Jupyter Notebook

Heart-Disease-Prediction-with-ML.

Heart disease is one of the biggest causes of morbidity and mortality among the population of the world. Prediction of cardiovascular disease is regarded as one of the most important subjects in the section of clinical data science.

Jupyter Notebook

Using-PyCaret-for-ML-models-

Compare different models, fixing the imbalance problem, building the best model according to best metric and perform hyperparameter tuning for accuracy, using Logistic Regression, CatBoost Classifier and LightGBM algorithms.

Jupyter Notebook

USA_Housing-Linear-Regression-ML-

Here we have data "USA Housing" , which I took from Kaggle.com. I statistically analyzed and also used Linear Regression analysis using Machine Learning and made predictions.

Jupyter Notebook