GitHub topics: data-exploration-and-preprocessing
AI-Northstar-Tech/vector-io
Comprehensive Vector Data Tooling. The universal interface for all vector database, datasets and RAG platforms. Easily export, import, backup, re-embed (using any model) or access your vector data from any vector databases or repository.
Language: Jupyter Notebook - Size: 4.4 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 243 - Forks: 28
SayamAlt/Company-Bankruptcy-Prediction
Successfully developed a machine learning model which can accurately predict whether a firm will become bankrupt or not, depending on various features such as net value growth rate, borrowing dependency, cash/total assets, etc.
Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0
SayamAlt/Symptoms-Disease-Text-Classification
Successfully developed a fine-tuned BERT transformer model which can accurately classify symptoms to their corresponding diseases upto an accuracy of 89%.
Language: Jupyter Notebook - Size: 860 KB - Last synced at: 21 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
whoisalisha/BOM-Business-Analyst-Technical-Case-Study-Assignment
BOM(Bill of Materials) Business Analyst Case Study Solution using Python, Pandas manipulation and Visualization Technique
Size: 1.95 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
SayamAlt/Financial-News-Sentiment-Analysis
Successfully developed a fine-tuned DistilBERT transformer model which can accurately predict the overall sentiment of a piece of financial news up to an accuracy of nearly 81.5%.
Language: Jupyter Notebook - Size: 745 KB - Last synced at: 21 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
Aniket2021448/Movie-recommender-system
A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis, NLP processing and ML, achieving the functionality of a Content based movie recommender system
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Andersoncrs/Analisis_Exploratorio_De_Datos-EDA-_Rendimiento_Estudiantil
Este análisis exploratorio de datos (EDA) realizado sobre el conjunto de datos de rendimiento estudiantil tiene como objetivo identificar y comprender los factores que influyen en el desempeño académico de los estudiantes. A través de la limpieza, transformación y visualización de datos, se busca descubrir patrones y relaciones significatvas.
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srosalino/Prediction_of_Seoul_Bikes_Demand
The objective of this project is to predict the number of bicycles needed to be made available each hour in order to make the service as efficient as possible
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AngelX62/Data-Science-Job-Clean
Data was downloaded through Kaggle
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nafisalawalidris/Employee-Attrition-Control
The Employee Attrition Control project uses data analysis and predictive modeling to understand and address employee turnover. It provides insights and recommendations to reduce attrition and improve employee satisfaction and retention.
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SayamAlt/Global-News-Headlines-Text-Summarization
Successfully established a text summarization model using Seq2Seq modeling with Luong Attention, which can give a short and concise summary of the global news headlines.
Language: Jupyter Notebook - Size: 513 KB - Last synced at: 21 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
venkat-a/Happiness-Prediction
Prediction of happy Customers based on Happiness Survey Data
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saikaryekar/PySpark-Plane-Dataset-Exploration
Explored a dataset of planes while learning PySpark commands.
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SaiSurajMatta/Covid-19-Data-Exploration-Project
An SQL-based exploration of COVID-19 data and vaccination progress using the Covid-Deaths dataset for insights into global pandemic trends.
Size: 19.7 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
SayamAlt/Credit-Card-Approval-Prediction
Successfully developed a machine learning model which can accurately predict up to 100% accuracy whether a credit card application of a given applicant would be approved or not, based on several demographic features such as applicant age, total income, marital status, total years of work experience, etc.
Language: Jupyter Notebook - Size: 15.8 MB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
SayamAlt/Taxi-Trip-Fare-Prediction
Successfully created a machine learning model which can accurately predict the fare of a taxi trip based on several features such as trip duration, tip amount, etc.
Language: Jupyter Notebook - Size: 29.8 MB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
ImAnitaYadav07/FIFA24_line_up_analysis
In this project we can analyze the EA FIFA 23 data to predict current potential and future potential for team formations and list out the possible fifa 24 team line ups.
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SayamAlt/Employee-Attrition-Prediction
Successfully established a machine learning model which can accurately predict whether an employee of a given company will leave it in the impending future or not, based on several employee details and employment metrics.
Language: Jupyter Notebook - Size: 9.54 MB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0