Project-8-Image-Segmentation-using-Sklearn-and-K-Means
Project idea - Image segmentation is an important step in image processing, and it seems everywhere if we want to analyze what’s inside the image.
Possibly Available
About
I am a data-driven and analytical individual with a passion for turning raw data into meaningful insights. I possess a strong background in machine learning.
Evidence-backed skills
Repositories
Playstore-Apps-analysis-Visualization
In this project, a team of four members from around the globe will be working on a real-world dataset of the google play store,
Global_Superstore
This is a Data analysis project in which the sales, profit, loss has been shown during 2012 to 2015.
Project-9-Titanic-Survival-Prediction-using-Decision-Tree-Random-Forests-and-Sklearn
Project idea – This will be a fun project to build as we will be predicting whether someone would have survived if they were in the titanic ship or not. For this beginner’s project, we will use the Titanic dataset that contains real data of the survivors and people who died in the Titanic ship.
Project-6-Real-Time-Face-Recognition-using-OpenCV-and-knn
Project idea - Face recognition is a crucial security application. Through this project, a very basic form of face recognition has been implemented using the Haar Cascades Classifier, openCV & K-Nearest Neighbors Algorithm.
Project-5-MNIST-Handwritten-Digit-Recognition-using-Sklearn-and-LogisticRegression
Project idea – The MNIST digit classification project enables machines to recognize handwritten digits. This project could be very useful for computer vision. Here we will use MNIST datasets to train the model using sklearn and Logistic Regression.
Project-1-Iris-Flower-Classification
Project idea – The iris flowers have different species and you can distinguish them based on the length of petals and sepals. This is a basic project for machine learning beginners to predict the species of a new iris flower.
Project-7-Mushroom-classification-using-Naive-Bayes
Project idea - Goal of this project is to predict the class of mushrooms, given some features of the mushrooms. We will use Naive Bayes Model for this classification.
Project-4-MNIST-Handwritten-Digit-Recognition-using-knn
Project idea – The MNIST digit classification project enables machines to recognize handwritten digits. This project could be very useful for computer vision. Here we will use MNIST datasets to train the model using knn.
Project-3-Hardwork-Pays-Off-Challenge-using-Linear-Regression
Project idea - Predicting Exam Scores using Machine Learning. In this challenge, it is given to us walk time data of past students and how they performed in the evaluation exam. Our task is to predict the score we will get given the amount of time student spend on coding daily.
Project-2-Housing-Prices-Prediction-using-Sklearn-and-LinearRegression
Project idea – The dataset has house prices of the Boston residual areas. The expense of the house varies according to various factors like crime rate, number of rooms, etc. It is a good ML project for beginners to predict prices on the basis of new data.