Data Science HacksData Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
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PyRepository to store sample python programs for python learning
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Stock Price PredictorThis project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
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Pytablewriterpytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.
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DareblopyData Reading Blocks for Python
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CodesearchnetDatasets, tools, and benchmarks for representation learning of code.
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BoxdetectionA Box detection algorithm for any image containing boxes.
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Datasets🎁 3,000,000+ Unsplash images made available for research and machine learning
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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AlphalensPerformance analysis of predictive (alpha) stock factors
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EtymapInteractive visualization of Wiktionary words and etymologies.
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Learning pythonSource material for Python Like You Mean it
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BtctradingTime Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
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Learn Machine Learning In Two MonthsNhững kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
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TaTechnical Analysis Library using Pandas and Numpy
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Data Science Resources👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
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PysynthSeveral simple music synthesizers in Python 3. Input from ABC or MIDI files is also supported.
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ClinicalbertClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
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WindroseA Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution
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MlkatasA series of self-correcting challenges for practicing your Machine Learning and Deep Learning skills
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25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
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ErgoA Python library for integrating model-based and judgmental forecasting
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Numerical Linear AlgebraFree online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
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Bitcoin Value Predictor[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin
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Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
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100 Pandas Puzzles100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
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Seaborn TutorialThis repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
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Python BigdataData science and Big Data with Python
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Stock Market Analysis And PredictionStock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
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Data Analysis主要是爬虫与数据分析项目总结,外加建模与机器学习,模型的评估。
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Data science blogsA repository to keep track of all the code that I end up writing for my blog posts.
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Neural Network From ScratchEver wondered how to code your Neural Network using NumPy, with no frameworks involved?
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Psi4numpyCombining Psi4 and Numpy for education and development.
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Numscanumsca is numpy for scala
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Andrew Ng NotesThis is Andrew NG Coursera Handwritten Notes.
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Tensorflow Ml Nlp텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
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Gasyori100knockimage processing codes to understand algorithm
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DataData and code behind the articles and graphics at FiveThirtyEight
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Algorithmic-TradingI have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.
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QuiltQuilt is a self-organizing data hub for S3
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Machine Learningnotebooks with example for machine learning examples
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TcdfTemporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
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Stock AnalysisRegression, Scrapers, and Visualization
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