Intermediate Machine Learning resources
Intermediate Machine Learning resources
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.
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...
The project involves designing and implementing a deep learning-based brain tumor detection system using MRI images. The goal is to determine whether a person has a brain tumor by analyzing their brain MRI image. This...
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...
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 ...
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...
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 comprehensive solution provides answers and explanations for a mock test in Machine Learning Fundamentals (MLF). It offers students a clear understanding of essential ML concepts and techniques, making it an...
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...
Discover a collection of 50 powerful and creative prompts designed to help you make the most out of ChatGPT. This PDF includes prompts tailored for various professional and personal use cases like few examples below : ...
The future of urban planning and smart cities is being profoundly shaped by robotics and automation. These technologies are revolutionizing how we design, construct, and manage urban environments. Robotics, such as 3D...
This Machine Learning Lab Manual contains the solution of important machine learning algorithms. It covers the solutions ranging from Linear Regression and logistic regression to various types of clustering algorithms....