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machinelearnjs / machinelearnjs

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100-Days-Of-ML-Code

harunshimanto / 100-Days-Of-ML-Code

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A day to day plan for this challenge. Covers both theoritical and practical aspects

python data-science machine-learning article linear-regression exploratory-data-analysis machine-learning-algorithms eda tutorials datascience data-preprocessing implementation decision-tree 100-days-of-code infographics regression-algorithms textsummarization siraj-raval-challenge vizualization 100daysofmlcode
  • Updated Oct 31, 2019
  • Jupyter Notebook

soumyadip007 / Data-Science-Using-Python-University-Course-Module

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“Data science” is just about as broad of a term as they come. It may be easiest to describe what it is by listing its more concrete components: Data exploration & analysis. Included here: Pandas; NumPy; SciPy; a helping hand from Python's Standard Library.

python data-science numpy jupyter-notebook data-visualization plotting data-preprocessing panda data-processing data-preparation knn
  • Updated Apr 15, 2020
  • Jupyter Notebook

KwokHing / YandexCatBoost-Python-Demo

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Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset

visualization python seaborn feature-selection data-preprocessing python27 gradient-boosting-classifier gradient-boosting pearson-correlation one-hot-encode catboost variance-analysis yandex-catboost
  • Updated Dec 5, 2019
  • Jupyter Notebook

priyanshu1210 / lung-cancer-detection

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This is a project based on Data Science Bowl 2017. I did my best to propose a solution for the problem but I am still new to Deep Learning so my solution is not the optimal one but it can definitely be improved with some fine tuning and better resources.

data-science machine-learning deep-learning neural-network tensorflow lung-cancer-detection convolutional-neural-networks data-preprocessing data-science-bowl-2017
  • Updated Sep 16, 2018
  • Jupyter Notebook

sourcecode369 / ml-algorithms-on-scikit-and-keras

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Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..

machine-learning natural-language-processing reinforcement-learning deep-learning clustering numpy scikit-learn keras regression pandas xgboost classification dimensionality-reduction matplotlib t-sne data-preprocessing grid-search association-rule-learning kfold-cross-validation multiarm-bandit
  • Updated Jul 22, 2018
  • Jupyter Notebook

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