Files and Notebooks for Kaggle Titanic

Different prediction algorithms that calculate the selling price of properties in Buenos Aires City. Languages and Technologies: Python, Pandas, Machine Learning Algorithms, Jupyter Notebook, Google Maps API.

This Repository consist of some popular Machine Learning Algorithms and their implementation of both theory and code in Jupyter Notebooks

All Possible Machine Learning algorithms implementation in jupyter notebook with csv file.

Notebooks explaining various Machine Learning concepts.

This folder contains Jupyter Notebook files related to predicting Customer Lifetime Value using Gradient Boost Regression.

Titanic Survival Prediction Project (93% Accuracy)🛳️ In this notebook, The goal is to correctly predict if someone survived the Titanic shipwreck using different Machine Learning Model & Hyperparameter tunning.

In this notebook, I built gradient boosting classifier and neural network models to classify and predict the survival rate of patients with breast cancer.

This notebook is about data visualization, pre-processing the data and selecting regression model out of different regression model based on the accuracy given on validation data.

Different ML Algorithms both in scripts & Jupyter Notebooks

Master Decision Trees & Ensembles in Python with this ML notebook! Classification, Regression, Bagging, Boosting, & Tuning. Elevate your ML skills now! 🌲🚀

Notebooks and references for the submission to SnakeCLEF, 2021 edition.

In this notebook, I built gradient boosting classifier and LSTM model to classify and predict the mineral scaling potential of formation water in US shale basins.