Understanding of Data Science Machine Learning : Data Driven Approach Artificial Intelligence v/s Machine Learning v/s Deep Learning Significance of Data Science in today’s digitally-driven world Applications of...

This video by Dr. Smriti H Bhandari explains solution to Machine Learning Regression Problem. Given problem with actual and predicted output. Compute the error.

This video by Dr. Smriti H Bhandari explains how to compute cost function in regression for given parameter values.

Just an introduction. Get to learn the fundamentals of data science and using R programming as a tool for data analysis. Data Science is fun!

This video by Dr. Smriti H Bhandari explains solution to Machine Learning Regression Problem. Given problem with some questions based on the data, this video provides detailed solution with explanation. Consider the...

This powerpoint presentation provides a brief overview of Machine Learning. Starting from data collection, the presentation describes various pre processing methods for data like data cleaning, handling missing values...

In this project, we delve into the realm of sentiment analysis using machine learning techniques on the IMDb dataset. Our primary goal is to predict sentiment polarity—positive or negative—of movie reviews, employing...

🚀 Launch Your Data Science Journey: Introducing the "Data Science Cheat Sheet - Bundle," your ultimate shortcut to mastering data science! 🔍 All-In-One Resource. 🎯 Tailored for all Data Science Students and...

In this project, we embark on a data-driven exploration into the world of insurance cost prediction using advanced machine learning techniques. Our primary objective is to harness the power of three distinct regression...

In this project, we delve into the realm of road safety analytics, aiming to predict the number of casualties in road accidents using advanced machine learning techniques. Our primary objective is to harness the power...

In this project, we delve into the world of sentiment analysis and recommendation prediction by utilizing advanced machine learning techniques. Our primary objective is to predict car recommendations based on customer...

In this project, we embark on a data-driven exploration into the realm of healthcare analytics, aiming to predict health condition labels using advanced machine learning methodologies. Our primary objective is to...

In this project, we embark on a journey into the realm of predictive analytics within the insurance sector, focusing on the prediction of Agent Bonus using advanced machine learning techniques. Our primary objective is...

In this project, Our focus is on understanding the underlying factors that influence a consumer's choice to make a purchase, and we explore the predictive accuracy of three prominent machine learning models: Decision...

This project showcases the Classification using various ML Algorithms and Visualization of the data. It includes: Visualizing the data BoxPlot Histogram ScatterPlot Cross Tabulations Training and modeling...

This project uses Python to clean the dataset. Here, the dataset has undergone data cleaning and is prepared for use with machine learning algorithms. It includes: Creating a Data Frame Describing the Data ...

Uncover the fundamentals of data engineering with our comprehensive study notes. Whether you're a working professional seeking a theoretical foundation, a beginner looking to dive into the world of data engineering, or...

Full handwritten Artificial intelligence notes. Please feel free to contact me if you want to learn anything.

For those who have never used Python before, this fast start guide offers a starting point for exploring the world of machine and deep learning. It presents fundamental Python fundamentals, including mathematical...

Machine Learning Algorithms: 1.Linear Regression 2.Logistic Regression 3.KNN 4.SVM 5.DT 6.RF A machine learning model is a program that can find patterns or make decisions from a previously unseen dataset. For...