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Roadmap for Data Engineering
devops data-science machine-learning development roadmap awesome cloud database deep-learning interview ci-cd awesome-list guidelines datawarehouse datapipeline dataengineering awesome-resources datapreprocessing mlops
Simple tool to split COCO annotations into train/test datasets.
⚡ GUI for editing LLM vector embeddings. No more blind chunking. Upload content in any file extension, join and split chunks, edit metadata and embedding tokens + remove stop-words and punctuation with one click, add images, and download in .veml to share it with your team.
nlp php laravel ml embeddings markup-language datascience nltk vectorization datapreprocessing vector-search embedding-vectors vector-database llm genai veml
Wind Power Forecasting Based on Hybrid CEEMDAN-EWT Deep Learning Method
prediction artificial-intelligence lstm forecasting deeplearning renewable-energy datapreprocessing ceemdan
building an DWH with SQL,including ETL processes,modelling and analysis
Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.
python statistics xgboost machinelearning boosting datavisualization analytics-vidhya-competition dataanalysis catboost datapreprocessing googlecolab featureextraction lgboost
Utilizes a Convolutional-based Transformer architecture for accurate and efficient PV power forecasting.
training datapreprocessing sequance-creations convolutional-based-transformer pv-forcasting energy-generation-forcasting
Zero-dependency Python utilities for files, text, data processing, system tasks and developer workflows.
python console utilities progress-bar tokenizer python-library python3 colab file-converter data-tools tfidf hacktoberfest array-manipulations progress-view datapreprocessing freq freqitems hacktoberfest2024
The project provides a real-world dataset focusing on supply chain analytics
python data exploratory-data-analysis supply-chain segmentation supply-chain-management datacleaning datapreprocessing dataanalyst abcxyz-analysis
Monotonic Optimal Binning algorithm is a statistical approach to transform continuous variables into optimal and monotonic categorical variables.
python statistics risk credit-card-fraud feature-engineering monotone mob credit risk-management monotonic pava credit-risk datapreprocessing data-discretization monotonic-optimal-binning monotone-optimal-binning pool-adjacent-violators
Power BI exercises for courses on DataCamp's Data Analyst in Power BI Career Track
bi dashboard data-visualization business-intelligence dax powerbi datacamp powerquery datapreprocessing
Data Science RoadMap
statistics numpy machine-learning-algorithms pandas data-visualization python3 seaborn matplotlib datapreprocessing
This is a Data Science Essentials for Artificial Intelligence repository. It provides a structured learning path covering NumPy, Pandas, Matplotlib, Seaborn, and Exploratory Data Analysis (EDA).
python machine-learning linear-regression machine-learning-algorithms coursera python3 artificial-intelligence octave flask-api gnu-octave datapreprocessing accuracy-metrics
A helper package for Machine Learning and Deep Learning Algorithms
HSC Result Predictor using Random Forest Regression to forecast student exam scores based on historical data and performance indicators.
machine-learning numpy pandas data-visualization gradio hyperparameter-tuning random-forest-regression datapreprocessing huggingface voting-regressor stackingregressor
⚒️ Data preprocessing is the process of transforming raw data into an understandable format. It is also an important step in data mining as we cannot work with raw data. The quality of the data should be checked before applying machine learning or data mining algorithms
This project is an Intrusion Detection System (IDS) using machine learning (ML) and deep learning (DL) to detect network intrusions. It leverages the CICIDS2018 dataset to classify traffic as normal or malicious. Key features include data preprocessing, model training, hyperparameter tuning, and Docker containerization for scalable deployment.
docker deep-learning cybersecurity neural-networks intrusion-detection machinelearning bayesian-optimization hyperparameter-tuning datapreprocessing cicids2018
Data Visualization, EDA , Model Building and Deployment etc..
data-science machine-learning deep-neural-networks machine-learning-algorithms embeddings artificial-intelligence artificial-neural-networks flask-api model-deployment datapreprocessing
My learnings on different algorithms of Machine Learning with Python .
python nlp machine-learning random-forest svm decision-trees knn-classification k-means-implementation-in-python datapreprocessing
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