Yash Verma's Projects
Cancer disease Prediction using two ML models, which are Decision Tree Classifier and Random Forest Classifier with Confusion Matrix of prediction models, The prediction of the cancer disease is done on the bases of your age, smoking habit, alcohol habit.
Churn prediction involves utilizing data analysis and machine learning to foresee customers/users who might discontinue using a service or product. This practice finds utility across sectors like telecom, subscriptions, e-commerce, etc. Foreseeing potential churners empowers companies to pre-emptively address their concerns, curbing revenue loss.
Detecting weather the news is Real or Fake using two ML models, which are Gaussian NaΓ―ve Bayes and Multinomial NaΓ―ve Bayes with Confusion Matrix of prediction models.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
This project offers significant practical benefits. In banking, it can automate check processing by reading handwritten numbers and routing them accordingly. In postal services, it aids in sorting mail based on handwritten addresses. Moreover, it can simplify data entry tasks, reducing human effort and errors.
A new feature has emerged popular in the fitness comunity that keeps an account of one's daily footsteps. This is achieved with the help of Sensors. Several such Sensorory data is recorded with IOS device & labelled as walking or running as 0 or 1. In this project o have predicted the kinematic motion using Machine Learning modules.
Using pandas over the dataset to find or search movies of same interest/genres
Sell Used Car Prediction ML models, Linear Regression Model() with Confusion Matrix of prediction models.
Sentiment analysis plays a crucial role in understanding public opinion and sentiment on social media platforms. This project aims to perform sentiment analysis on a large dataset of Twitter posts to gain insights into user sentiments regarding a specific topic.
Linear Regression model to predict startup profit rate, which includes pre-processing of the data and visualizing the data to understand the market demand and curve of profit.
Tableau, established in 2003, is a dominant data visualization and business intelligence tool. It empowers users to convert intricate datasets into visually engaging dashboards and reports, making it a leader in the data analytics field due to its user-friendly interface and robust capabilities.
This is a simple Python project in which connectivity between python and MySql is presented, this is a basic level PHONE DIRECTORY which add on and delete records from the frame and from backend both.
Python Mobile app to convert your text to handwritten PDF
Titanic Survival Prediction using two ML models, which are Decision Tree Classifier and Random Forest Classifier with Confusion Matrix of prediction models.
Tour Package Selling Prediction using two ML models, which are Decision Tree Classifier and Random Forest Classifier with Confusion Matrix of prediction models.
Using Pandas and Matplotlib library going through EDA( Exploratory Data Analysis ) of the given Dataset.
Your open-source ML monitoring and refinement toolkit.
Predicting the weather condition of Delhi with the help of ML models trained on the past weather condition record of Delhi, Which includes data preprocessing, EDA, Splitting of data, Train &Test split and model building (Logistic Regression, Decision Tree Classifier and Random Forest Classifier)
Config files for my GitHub profile.