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matlplotlibHere are 59 public repositories matching this topic...Language: All
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A two-way connector to use regular Python from IronPython in Rhino/Grasshopper, and vice-versa.
Beginner's guide to Machine Learning. Notebooks, blogs, resources and tracks to help anyone get started.
python machine-learning algorithms numpy jupyter-notebook pandas seaborn naive-bayes-classifier supervised-learning fundamentals decision-trees hacktoberfest svm-classifier knn-classification classification-model matlplotlib
Dry Natural Gas Production Prediction of the United States
python machine-learning ai numpy sklearn ml artificial-intelligence machine-learning-library artificial-intelligence-algorithms machine-learning-python machine-learning-models matlplotlib
a crypto bot that checks the price movement in the markets and creates buy and sell signals
A few charts with ratings and info about the top 1000 IMDB movies of all time. You will also be able to use the Definitive Movie Picker!
A brief introduction to Markov chain Monte Carlo methods
A simple Linear Regression project on a simple dataset for beginners.
a class for standardized accessible plots
An end-to-end machine learning project for used car resale price prediction and market analytics using Python and Streamlit.
python machine-learning random-forest numpy linear-regression jupyter-notebook pandas linear decision-tree matlplotlib joblib streamlit sckit-learn ploltly
Operations/demand analytics on 150K Uber ride bookings — hourly demand patterns, cancellation-rate diagnostics, and ops recommendations using Python (pandas, matplotlib)
python pandas data-visualization data-analysis time-series-analysis uber-data product-analytics business-analytics matlplotlib
🍲 Smart Bhojan: A nutrition-focused dashboard for Indian recipes. Features automated health scoring, macronutrient visualization, and downloadable PDF recipe reports. Built with Streamlit.
python web-app pandas data-visualization nutricion matlplotlib streamlit receipe-app reportlab-pdf healthscore inidan-food
This is the code repository for Mastering Machine Learning with scikit-learn - Second Edition, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.
python numpy scikit-learn jupyter-notebook pandas pytorch scipy scikitlearn-machine-learning matlplotlib
The repository shows my journey and different projects in the knowledge gained to build models in machine learning. It highlights projects and documentation in Data Science
A neural network implementation in python using matrix operations with gradient descent as backpropogation algorithm. Neural network trained with a math formula and compared with target values and Keras Model optimized by sgd (Stochastic Gradient Descent)
Analyzing local and global temperature data and comparing the temperature trends where we live to overall global temperature trends
A machine learning system that detects forged signatures using image processing and neural networks. Analyzes geometric features to distinguish genuine from fake signatures.
Automated competitive intelligence for EV/auto startups using LLM extraction (Groq/Llama 3.3), classical ML priority classification, and grounded RAG Q&A.
python nlp api sql sqlite eda pandas seaborn tfidf matlplotlib tfidf-vectorizer fastapi streamlit llms rag-pipeline
A collection of my Jupyter Notebooks
python data-science data jupyter-notebook pandas data-visualization seaborn data-engineering dataset data-analytics data-analysis jupyter-notebooks python-data-science matlplotlib python-data-analysis
predict the IPL score of the team based on the past performance.
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