data-exploration-and-preprocessing

There are 0 repository under data-exploration-and-preprocessing topic.

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.
binary-classification cicd-deployment cross-validation data-exploration-and-preprocessing data-visualization docker-container exploratory-data-analysis feature-engineering github-actions hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation
Language:Jupyter Notebook 5
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.
model-training-and-evaluation python statistical-analysis time-series-analysis turnover-analysis data-exploration-and-preprocessing data-visualization-and-storytelling feature-selection-and-engineering predictive-modeling-techniques
Language:Jupyter Notebook 2
AngelX62 / DS_Job_Clean
Data was downloaded through Kaggle
data-cleaning data-exploration-and-preprocessing data-visualization numpy pandas python seaborn
Language:Jupyter Notebook 1
Eleen-228 / KPMG_Data_Analytics_Virtual_Internship
data-exploration-and-preprocessing dataqualitycheck excel googlelooker pivot-tables powerpoint-presentations word xlookup
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saikaryekar / PySpark-Plane-Dataset-Exploration
Explored a dataset of planes while learning PySpark commands.
data-cleaning data-exploration-and-preprocessing pyspark-notebook
Language:Jupyter Notebook 0
venkat-a / Happiness-Prediction
Prediction of happy Customers based on Happiness Survey Data
data-exploration-and-preprocessing hyperparameter-tuning machine-learning metrics sklearn visualization matplotlib seaborn model-evaluation-and-tuning
Language:Jupyter Notebook 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
data-exploration data-exploration-and-preprocessing free-hosting-service machine-learning natural-language-processing nltk-python numpy pandas streamlit-webapp
Language:HTML
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.
sql data-exploration data-exploration-and-preprocessing mssql mysql sql-data-analysis sql-data-exploration sql-queries
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.
binary-classification cicd-deployment cross-validation data-exploration-and-preprocessing data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-retraining model-selection model-testing model-training-and-evaluation
Language:Jupyter Notebook
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.
binary-classification continuous-deployment continuous-integration cross-validation data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation data-exploration-and-preprocessing
Language:Jupyter Notebook
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%.
data-exploration-and-preprocessing distilbert-model fine-tune-bert-tensorflow hugging-face-transformers model-architecture-and-implementation model-inference model-training-and-evaluation multiclass-classification natural-language-processing sentiment-analysis text-preprocessing text-tokenization
Language:Jupyter Notebook
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.
attention-mechanism data-exploration-and-preprocessing luong-attention model-architecture-and-implementation model-inference natural-language-processing seq2seq-model text-generation text-summarization text-tokenization
Language:Jupyter Notebook
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%.
bert-fine-tuning data-exploration-and-preprocessing exploratory-data-analysis fine-tune-bert-tensorflow hugging-face-transformers model-architecture-and-implementation model-inference model-training-and-evaluation multiclass-classification natural-language-processing text-classification text-preprocessing text-tokenization
Language:Jupyter Notebook
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.
cross-validation data-exploration-and-preprocessing data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-selection model-training-and-evaluation regression-modelling
Language:Jupyter Notebook