In this ML course tutorial, we are going to learn the “Linear Regression Machine Learning Algorithm in detail. we covered Simple Linear regression and Multiple Linear regression supervised regression learning algorithm by practical and theoretical intuition.
This is an end-to-end Machine Learning/Data Science Project. We start the project from business problems to deployment on the cloud. Student Mark Prediction – Complete Machine Learning Project Prerequisites •10th ( Pass / Failed) •Should Know Hindi •Typing •Not need to install S/W •Need Gmail ID •Mobile or Laptop Machine Learning Projects Gurney We covered …
Machine Learning Project End to End: Student Mark Prediction Read More »
Machine Learning algorithm cant work on categorical data so we have to encode categorical variables in a numerical format and in this blog we working on Label Encoding and Ordinal Encoding. Below is Jupyter Notebook file to download with practical and prime video tutorial link. What is Ordinal Variables? •Ordinal variables are categorical variables in …
Label Encoding vs Ordinal Encoding | Categorical Variable Encoding Read More »
What is Feature Scaling? •Feature Scaling is a method to scale numeric features in the same scale or range (like:-1 to 1, 0 to 1). •This is the last step involved in Data Preprocessing and before ML model training. •It is also called as data normalization. •We apply Feature Scaling on independent variables. •We fit …
Feature Scaling – Standardization vs Normalization Explain in Detail Read More »
Machine Learning algorithm cant work on categorical data so we have to encode categorical variables in a numerical format and in this blog we working on one-hot encoding and dummy variables. Below is Jupyter Notebook file to download with practical and prime video tutorial link
Data is a powerful weapon to handle the world on the finger. As you know Customer is the king of business but customer’s data is the god of the customer and if you have customer’s god in your database then you can handle customers according to you. It is the truth. Now let’s talk about …
Best 6 Methods to Handling Missing Values/Data Smartly – Data Cleaning Read More »
Seaborn Pairplot uses to get the relation between each and every variable present in Pandas DataFrame. It works like a seaborn scatter plot but it plot only two variables plot and sns paiplot plot the pairwise plot of multiple features/variable in a grid format. How to plot Seaborn Pairplot? To plot seaborn pairplot we use …
Seaborn Pairplot in Detail| Python Seaborn Tutorial Read More »
In this project, we are going to predict the price of a house using its 80 features. Basically we are solving the Kaggle Competition. Follow the “House Prices Prediction: Advanced Regression Techniques End to End Project” step by step to get 3 Bonus.1. Raw Dataset2. Ready to use Clean Dataset for ML project 3. Full …
ML Project: House Prices Prediction Advanced Regression Techniques | Kaggle Competition Read More »
Breast cancer is a dangerous disease for women. If it does not identify in the early-stage then the result will be the death of the patient. It is a common cancer in women worldwide. Worldwide near about 12% of women affected by breast cancer and the number is still increasing. The doctors do not identify …
ML Project: Breast Cancer Detection Using Machine Learning Classifier Read More »
In this Machine Learning end to end project, we are working on financial application data and predict the customer who will take a premium version app subscription or not. Then the company will take action on the customers to give the offers or not. The data contain the customer’s behavior and our job to find …
ML Project: Directing Customers to Subscription Through Financial App Behavior Analysis Read More »
