ILearnMachineLearning.py-master

代码说明：

  这个储存库是我的作品和与数据科学和机器学习相关的项目的集合。在我的脚本中，我主要使用python及其专用的库：pandas、numpy、scipy、sci kit learn、matplotlib、basemap plotly。我还用了一些d3进行数据可视化。我还尝试从sci kit学习库中定制算法实现(This repository is a collection of my works and projects related to Data Science and Machine Learning. In my scripts I use mainly Python and its dedicated librarys: Pandas, NumPy, SciPy, Sci-Kit Learn, Matplotlib, Basemap Plotly. I had also used some D3 for data visualizations. I also try to make custom implementations of algorithms known from Sci-Kit Learn library.)

文件列表：

ILearnMachineLearning.py-master, 0 , 2018-05-17
ILearnMachineLearning.py-master\.gitignore, 697 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets, 0 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\College, 0 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\College\degrees-that-pay-back.csv, 5179 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\College\salaries-by-college-type.csv, 31434 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\College\salaries-by-region.csv, 37609 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\FIFA18, 0 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\FIFA18\CompleteDataset.csv, 7695093 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\FIFA18\PlayerPersonalData.csv, 3749935 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\French_firms, 0 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\French_firms\base_etablissement_par_tranche_effectif.csv, 1729657 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\French_firms\departements.geojson, 1084395 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\French_firms\name_geographic_information.csv, 4396905 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\French_firms\net_salary_per_town_categories.csv, 693570 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\GPUs, 0 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\GPUs\All_GPUs.csv, 833556 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\Iris.csv, 5107 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\StackOverflow, 0 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\StackOverflow\StackOverflow.csv, 93097088 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\Titanic_test.csv, 28210 , 2018-05-17
ILearnMachineLearning.py-master\00_Datasets\Titanic_train.csv, 60302 , 2018-05-17
ILearnMachineLearning.py-master\01_Regression, 0 , 2018-05-17
ILearnMachineLearning.py-master\01_Regression\01_Simple_Linear_Regression, 0 , 2018-05-17
ILearnMachineLearning.py-master\01_Regression\01_Simple_Linear_Regression\.ipynb_checkpoints, 0 , 2018-05-17
ILearnMachineLearning.py-master\01_Regression\01_Simple_Linear_Regression\.ipynb_checkpoints\Simple_Linear_Regression-checkpoint.ipynb, 36013 , 2018-05-17
ILearnMachineLearning.py-master\01_Regression\01_Simple_Linear_Regression\Salary_Dataset.csv, 423 , 2018-05-17
ILearnMachineLearning.py-master\01_Regression\01_Simple_Linear_Regression\Simple_Linear_Regression.ipynb, 36013 , 2018-05-17
ILearnMachineLearning.py-master\01_Regression\01_Simple_Linear_Regression\Simple_Linear_Regression.py, 1863 , 2018-05-17
ILearnMachineLearning.py-master\01_Regression\01_Simple_Linear_Regression\wykres1_plotly.png, 35448 , 2018-05-17
ILearnMachineLearning.py-master\01_Regression\01_Simple_Linear_Regression\wykres1_pyplot.png, 62261 , 2018-05-17
ILearnMachineLearning.py-master\01_Regression\02_Polynomial_Regression, 0 , 2018-05-17
ILearnMachineLearning.py-master\01_Regression\02_Polynomial_Regression\.ipynb_checkpoints, 0 , 2018-05-17
ILearnMachineLearning.py-master\01_Regression\02_Polynomial_Regression\.ipynb_checkpoints\Polynomial_Regression-checkpoint.ipynb, 335545 , 2018-05-17
ILearnMachineLearning.py-master\01_Regression\02_Polynomial_Regression\Polynomial_Regression.ipynb, 335545 , 2018-05-17
ILearnMachineLearning.py-master\02_Custering, 0 , 2018-05-17
ILearnMachineLearning.py-master\02_Custering\02_K-Means, 0 , 2018-05-17
ILearnMachineLearning.py-master\02_Custering\02_K-Means\.ipynb_checkpoints, 0 , 2018-05-17
ILearnMachineLearning.py-master\02_Custering\02_K-Means\.ipynb_checkpoints\K-Means-checkpoint.ipynb, 268026 , 2018-05-17
ILearnMachineLearning.py-master\02_Custering\02_K-Means\K-Means.ipynb, 268052 , 2018-05-17
ILearnMachineLearning.py-master\02_Custering\02_K-Means\Mall_Customers.csv, 4086 , 2018-05-17
ILearnMachineLearning.py-master\02_Custering\02_K-Means\Materia_y, 0 , 2018-05-17
ILearnMachineLearning.py-master\02_Custering\02_K-Means\Materia_y\K-Means.py, 3032 , 2018-05-17
ILearnMachineLearning.py-master\02_Custering\02_K-Means\Materia_y\K-Means_Intro.py, 2824 , 2018-05-17
ILearnMachineLearning.py-master\02_Custering\02_K-Means\Materia_y\durudataset.txt, 1408 , 2018-05-17
ILearnMachineLearning.py-master\02_Custering\02_K-Means\Materia_y\kmeans.py.ipynb, 334307 , 2018-05-17
ILearnMachineLearning.py-master\02_Custering\02_K-Means\MyKMeans.py, 11339 , 2018-05-17
ILearnMachineLearning.py-master\03_Classification, 0 , 2018-05-17
ILearnMachineLearning.py-master\03_Classification\01_K_Nearest_Neighbor, 0 , 2018-05-17
ILearnMachineLearning.py-master\03_Classification\01_K_Nearest_Neighbor\.ipynb_checkpoints, 0 , 2018-05-17
ILearnMachineLearning.py-master\03_Classification\01_K_Nearest_Neighbor\.ipynb_checkpoints\K_Nearest_Neighbor_IrisProject -checkpoint.ipynb, 3541848 , 2018-05-17
ILearnMachineLearning.py-master\03_Classification\01_K_Nearest_Neighbor\K_Nearest_Neighbor_IrisProject .ipynb, 3541848 , 2018-05-17
ILearnMachineLearning.py-master\03_Classification\01_K_Nearest_Neighbor\MyKNN.py, 3102 , 2018-05-17
ILearnMachineLearning.py-master\03_Classification\01_K_Nearest_Neighbor\iris.png, 1499857 , 2018-05-17
ILearnMachineLearning.py-master\03_Classification\02_Decision_Trees, 0 , 2018-05-17
ILearnMachineLearning.py-master\03_Classification\02_Decision_Trees\.ipynb_checkpoints, 0 , 2018-05-17
ILearnMachineLearning.py-master\03_Classification\02_Decision_Trees\.ipynb_checkpoints\Decision_Trees_Classification-checkpoint.ipynb, 172378 , 2018-05-17
ILearnMachineLearning.py-master\03_Classification\02_Decision_Trees\DTC.py, 8833 , 2018-05-17
ILearnMachineLearning.py-master\03_Classification\02_Decision_Trees\Decision_Trees_Classification.ipynb, 196177 , 2018-05-17
ILearnMachineLearning.py-master\03_Classification\02_Decision_Trees\__pycache__, 0 , 2018-05-17
ILearnMachineLearning.py-master\03_Classification\02_Decision_Trees\__pycache__\DTC.cpython-36.pyc, 6299 , 2018-05-17
ILearnMachineLearning.py-master\0_Quiet_projects, 0 , 2018-05-17
ILearnMachineLearning.py-master\0_Quiet_projects\.ipynb_checkpoints, 0 , 2018-05-17
ILearnMachineLearning.py-master\0_Quiet_projects\.ipynb_checkpoints\California_Housing_Prices-checkpoint.ipynb, 729045 , 2018-05-17
ILearnMachineLearning.py-master\0_Quiet_projects\.ipynb_checkpoints\Untitled-checkpoint.ipynb, 314 , 2018-05-17
ILearnMachineLearning.py-master\0_Quiet_projects\California_Housing_Prices.ipynb, 733544 , 2018-05-17
ILearnMachineLearning.py-master\0_Quiet_projects\datasets, 0 , 2018-05-17
ILearnMachineLearning.py-master\0_Quiet_projects\datasets\housing, 0 , 2018-05-17
ILearnMachineLearning.py-master\0_Quiet_projects\datasets\housing\housing.csv, 1423529 , 2018-05-17
ILearnMachineLearning.py-master\0_Quiet_projects\datasets\housing\housing.tgz, 409488 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels, 0 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\.ipynb_checkpoints, 0 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\.ipynb_checkpoints\College-checkpoint.ipynb, 279822 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\.ipynb_checkpoints\Corporacion_Favorita-checkpoint.ipynb, 72 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\.ipynb_checkpoints\Franch_Industry_Data_Visualization-checkpoint.ipynb, 4173970 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\.ipynb_checkpoints\French_Salary_Prediction-checkpoint.ipynb, 518811 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\.ipynb_checkpoints\How To Pronounce GIF-checkpoint.ipynb, 116736 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\.ipynb_checkpoints\Most_Trending_on_YouTube-checkpoint.ipynb, 920019 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\.ipynb_checkpoints\My First TensorFlow Project-checkpoint.ipynb, 72339 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\.ipynb_checkpoints\Predicting_Survival_on_Titanic-checkpoint.ipynb, 254147 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\.ipynb_checkpoints\Predicting_survival_on_the_Titanic-checkpoint.ipynb, 253991 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\.ipynb_checkpoints\RSSI-checkpoint.ipynb, 72 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\.ipynb_checkpoints\Recruit -checkpoint.ipynb, 26266 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\.ipynb_checkpoints\Talk_About_Money_FIFA_18_Data_Exploration_With_Python-checkpoint.ipynb, 929164 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\.ipynb_checkpoints\Using Regression to predict GPUs of the future-checkpoint.ipynb, 2342671 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\.ipynb_checkpoints\What_It_Takes-checkpoint.ipynb, 1919 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\.ipynb_checkpoints\What_to_Expect_after_Graduation-checkpoint.ipynb, 279822 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\.ipynb_checkpoints\france-checkpoint.ipynb, 4173789 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\Franch_Industry_Data_Visualization.ipynb, 4173970 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\French_Salary_Prediction.ipynb, 518837 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\Most_Trending_on_YouTube.ipynb, 920019 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\My First TensorFlow Project.ipynb, 75050 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\Predicting_Survival_on_Titanic.ipynb, 254147 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\Recruit .ipynb, 26266 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\Talk_About_Money_FIFA_18_Data_Exploration_With_Python.ipynb, 929323 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\Using Regression to predict GPUs of the future.ipynb, 2342749 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\What_to_Expect_after_Graduation.ipynb, 281265 , 2018-05-17
ILearnMachineLearning.py-master\98_Kaggle_kernels\kaggle award.png, 111827 , 2018-05-17
ILearnMachineLearning.py-master\99_Kaggle_competitions, 0 , 2018-05-17
ILearnMachineLearning.py-master\99_Kaggle_competitions\TalkingDataCompetition, 0 , 2018-05-17