Classification of Breast Cancer diagnosis Using Support Vector Machines

Notebook for weekly project deliverables

This Repository contains some of my tensorflow predictions models on datasets like MNIST Handwritten digits, CIFAR datasets etc.

View notebooks via this link:

this notebook is about predicting the bank insurance, either the customer will take insurance or not.

Machine Learning projects with Python and Jupyter Notebook

Classification of breast cancer diagnosis using Support Vector Machines in Python using Sklearn

Machine learning projects and simple model optimization notebook

SpeedDating Dataset Prediction Model on Google Colab (Jupyter Notebook).

Notebooks covering my work on Kaggle and Kaggle Competitions

Notebook with a machine learning solution to predict apartment prices

NBA players clustering and Points prediction

[Python] A module, notebook, and sample application for predicting the outcome of a battle using Lanchester's differential equations. The module can forecast results using three different models: the linear law, the square law, and a modernized model.

Neural Networks with TensorFlow 2 and Keras in Python (Jupyter notebooks included)

These notebooks contain advanced analysis of ML models of different kind of datasets

House Price Detection-Advanced Regression (Neural Network)

A notebook with core concepts of gradient descent algorithm to predict the prices for houses in Boston

This Jupyter Notebook implements Bayesian modeling techniques to fit a posterior distribution and forecast demand for an e-commerce company.

The notebook here consists of the concept of "Moore Penrose PseudoInverse" which approximates the inverse of a matrix and we use it to find the weight vectors in any given linear regression problem.

This repository is a training about Data Analysis using Python and Jupyter notebooks, following the exercises proposed in the 'Applied Data Science with Python' IBM certification.