Posts from Machine Learning

Build Differentially private Machine Learning Models Using TensorFlow Privacy

By Yash Gandhi

In the computer world, there are lots of data that required user wise privacy. The privacy of data and their protection are very essential for everyone. Day by day when data increa.... Read More

Sports Predictor using Python in Machine Learning

By Yash Gandhi

Prediction means to make an estimate of the future and on which base prepare a plan to achieve a goal. Recent technology of computers very useful to predict the future and to make .... Read More

Develop A Neural Network That Can Read Handwriting

By Sumit Singh

In this tutorial, we shall learn to develop a neural network that can read handwriting with python. For this tutorial, we shall use the MNIST dataset, this dataset contains handwri.... Read More

Predict Weather Report Using Machine Learning in Python

By Balender Singh

In this tutorial, we will learn how to predict the weather report using machine learning in python. In layman terms, I can simply define it as forecasting weather so I have used Ti.... Read More

Fake News Detection Using Machine Learning in Python

By Akarsh Shekhar

In this tutorial program, we will learn about building fake news detector using machine learning with the language used is Python.  So here I am going to discuss what are the basi.... Read More

Credit Card Fraud detection using Machine Learning in Python

By Yash Gandhi

In this tutorial, we will learn how to make a credit card fraud detection using machine learning in Python. In the e-commerce world, online business, cashless transactions and othe.... Read More

Predict the Heart Disease Using SVM using Python

By Monish C

In this tutorial, we will be predicting heart disease by training on a Kaggle Dataset using machine learning (Support Vector Machine) in Python. We aim to classify the heartbeats e.... Read More

Data cleaning with scikit-learn in Python

By Deepanshu Dashora

Introduction: Whenever we solve a data science problem, almost every time we face these two problems first one is missing data and the second one is categorical data. In this artic.... Read More

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