Harish's repositories
Machine-Learning
These code provided is part of understanding and applying some knowledge on Machine-Learning
Sentiment-analysis
It consists of predicting if a piece of text is positive, negative, or neutral. Understanding the sentiment can bring insights for your business to monitor if there is satisfaction/dissatisfaction with your products.
google-research
Google Research
bert
TensorFlow code and pre-trained models for BERT
BackgroundRemoval
Remove background from any image
ask-my-pdf
Question answering system for PDF files
seamless_communication
Foundational Models for State-of-the-Art Speech and Text Translation
cheminformatics
Facilitates searching, screening, and organizing large chemical databases
Wine_quality_analysis
The two datasets are related to red and white variants of the Portuguese "Vinho Verde" wine. These datasets can be viewed as classification or regression tasks.
Water_Quality_Analysis
Safe drinking water is essential to a healthy life. It is a fundamental human right. Healthy drinking water is vital as a health and development issue at a national, regional, and local level. In some regions, investing in water supply and sanitation
Student_Evaluation
This data set contains a total 5820 evaluation scores provided by students from Gazi University in Ankara (Turkey). There is a total of 28 course specific questions and additional 5 attributes.
Time_series_analysis_TrafficForecast
Investors are considering making an investment in a new form of transportation - JetRail. JetRail uses Jet propulsion technology to run rails and move people at a high speed! While JetRail has mastered the technology and they hold the patent for their product.
Medical_Insurance_Prediction
This is a medical insurance cost predictor machine learning project using Random forest regressor
Loan_Prediction_Analysis
Dream Housing Finance company deals in all home loans. They have presence across all urban, semi urban and rural areas. Customer first apply for home loan after that company validates the customer eligibility for loan.
Iris_Plant_classification
The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter are NOT linearly separable from each other
Credit_card_fraud_detection
The dataset contains transactions made by credit cards in September 2013 by European cardholders. This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. The dataset is highly unbalanced, the positive class (frauds) account for 0.172% of all transactions.
Breast_cancer_classification
Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image.
Black_Friday_sales_Prediction
This dataset comprises of sales transactions captured at a retail store. It’s a classic dataset to explore and expand your feature engineering skills and day to day understanding from multiple shopping experiences. This is a regression problem. The dataset has 550,069 rows and 12 columns.
Bike_Demand_Analysis
Bike sharing systems are new generation of traditional bike rentals where whole process from membership, rental and return back has become automatic.
Ml_Bigmart
The aim is to build a predictive model and find out the sales of each product at a particular store.
CervicalCancer_Risk_Classification
Cervical Cancer Risk Factors for Biopsy:
KNN_Sonar_Frequncies
main goal is to create a machine learning model capable of detecting the difference between a rock or a mine based on the response of the 60 separate sonar frequencies.
LR_Heart-Disease
Create a Classification Model that can predict whether or not a person has presence of heart disease based on physical features of that person (age,sex, cholesterol, etc...)
LR_Ames_Housing_Data
The Ames Housing Dataset is a well-known dataset in the field of machine learning and data analysis. It contains various features and attributes of residential homes in Ames, Iowa, USA. The dataset is often used for regression tasks, particularly for predicting housing prices.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
streamlit-agent
Reference implementations of several LangChain agents as Streamlit apps
code
Compilation of R and Python programming codes on the Data Professor YouTube channel.
notebooks
Notebooks using the Hugging Face libraries 🤗
-Predicting-and-understanding-viewer-engagement-with-educational-videos
Predicting and understanding viewer engagement with educational videosPredicting and understanding viewer engagement with educational videos Oct 2023 - Nov 2023Oct 2023 - Nov 2023 Video Engagement Prediction (Python, Machine Learning): Developed predictive models using educational video dataset with diverse properties like transcripts
Sports-Team-Performance-vs-Metropolitan-Population-Analysis-Python-Statistics-
Analyzed relationship between 2018 team performance and metropolitan area population for NFL, MLB, NBA, and NHL using Python, correlation analysis, and statistics. Contributed analysis and visualizations to study investigating predictive factors of sports team success.