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- Language
- English
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- 102 bytes
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- 2026-07-23 03:06 (3 months, 2 weeks ago)
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- 3 seeders, 4 leechers (checked 6 days, 14 hours ago)
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Tracker Seeders Leechers Completed udp://coeus.torrentonline.cc:42069/announce 0 0 0 https://edge-team.cc/announce 0 0 0 https://tracker.madtia.cc/announce 0 0 0 udp://tracker.1h.is:1337/announce 0 0 0 udp://tracker.t-1.org:6969/announce 0 0 0 udp://open.stealth.si:80/announce 0 0 0 udp://whybother.torrentonline.cc:42069/announce 0 0 0 udp://obey.torrentonline.cc:42069/announce 0 0 0 udp://archive.torrentonline.cc:42069/announce 0 0 0 https://tracker.7471.top:443/announce 0 0 0 https://tracker.pmman.tech:443/announce 0 0 0 https://torrents.tmtime.dev:443/announce 0 0 0 http://tracker.moeblog.cn:443/announce 0 0 0 http://tracker.lilithraws.org:443/announce 0 0 0 udp://tracker.opentrackr.org:1337/announce 0 0 0 http://tracker.openbittorrent.com:80/announce 0 0 0 udp://opentracker.i2p.rocks:6969/announce 0 0 0 udp://tracker.internetwarriors.net:1337/announce 0 0 0 udp://tracker.leechers-paradise.org:6969/announce 0 0 0 udp://coppersurfer.tk:6969/announce 0 0 0 udp://tracker.zer0day.to:1337/announce 0 0 0 - Files
- Bonus Resources.txt102 bytes
- Get Bonus Downloads Here.url204 bytes
- 1 - 00-Introduction-01-py.pdf472.2 KB
- 1 - Welcome To The Course.mp425.3 MB
- 2 - Course Resources.html102 bytes
- Customer.csv64.0 KB
- House-Price.csv50.6 KB
- Classification.ipynb171.7 KB
- 02_whynot_linear.pdf155.3 KB
- 03_logistic.pdf352.7 KB
- 04_.pdf165.3 KB
- 04_P_value.pdf228.0 KB
- 05_Multiple_predictors.pdf151.3 KB
- 06_Confusion matrix.pdf222.3 KB
- 07_LDA.pdf183.1 KB
- 08_ROC.pdf306.9 KB
- 09_KNN.pdf236.7 KB
- 76 - The Problem Statement.mp414.2 MB
- 77 - Basic Equations And Ordinary Least Squares Ols Method.mp465.1 MB
- 78 - Assessing Accuracy Of Predicted Coefficients.mp4139.8 MB
- 79 - Assessing Model Accuracy Rse And R Squared.mp466.6 MB
- 80 - Simple Linear Regression In Python.mp489.7 MB
- 81 - Multiple Linear Regression.mp452.4 MB
- 82 - The F Statistic.mp486.7 MB
- 83 - Interpreting Results Of Categorical Variables.mp433.6 MB
- 84 - Multiple Linear Regression In Python.mp4100.8 MB
- 85 - Loan-Log.ipynb127.3 KB
- 85 - Practical Task 1.html1.0 KB
- 86 - Practical Task 2.html1.1 KB
- 87 - Practical Task 3.html3.3 KB
- 88 - Comprehensive Interview Preparation Questions.html1.4 KB
- Loan.ipynb213.0 KB
- Loan.xlsx25.6 KB
- Loan.xlsx - loan_data.csv19.8 KB
- 10 - Exercise-1.pdf553.8 KB
- 10 - Practice Exercise 1.html307 bytes
- 11 - Measures Of Dispersion.mp414.4 MB
- 12 - Exercise-2.pdf469.9 KB
- 12 - Practice Exercise 2.html307 bytes
- 13 - Installing Python And Anaconda.mp415.3 MB
- 14 - Opening Jupyter Notebook.mp454.7 MB
- 15 - Introduction To Jupyter.mp436.4 MB
- 16 - Arithmetic Operators In Python Python Basics.mp410.5 MB
- 17 - Strings In Python Python Basics.mp481.4 MB
- 18 - Lists Part 1.mp411.3 MB
- 19 - Lists Part 2.mp413.4 MB
- 20 - Tuples And Dictionaries.mp413.0 MB
- 21 - Working With Numpy Library Of Python.mp452.9 MB
- 22 - Customer.csv64.0 KB
- 22 - Working With Pandas Library Of Python.mp455.9 MB
- 23 - Working With Seaborn Library Of Python.mp461.7 MB
- 24 - Python File For Additional Practice.html307 bytes
- 24 - Reference-Guide-for-Python-practice.ipynb80.2 KB
- 25 - About The Upcoming Role Play.html1.1 KB
- 26 - Gathering Business Knowledge.mp48.7 MB
- 27 - Data Exploration.mp414.6 MB
- 28 - House-Price.csv50.6 KB
- 28 - The Dataset And The Data Dictionary.mp4127.4 MB
- 29 - Data Import In Python.mp435.5 MB
- 29 - House-Price.csv50.6 KB
- 30 - Movie-collection.csv55.8 KB
- 30 - Project Exercise 1.html512 bytes
- 31 - 03-04-PDE-Univariate-Analysis-Uni.pdf333.4 KB
- 31 - Univariate Analysis And Edd.mp419.0 MB
- 32 - Edd In Python.mp4123.8 MB
- 33 - Project Exercise 2.html204 bytes
- 34 - 04-06-PDE-Outlier-Treatment.pdf355.1 KB
- 34 - Outlier Treatment.mp416.2 MB
- 35 - Outlier Treatment In Python.mp476.5 MB
- 36 - Project Exercise 3.html204 bytes
- 37 - 04-05-PDE-Missing-value.pdf315.7 KB
- 37 - Missing Value Imputation.mp415.4 MB
- 38 - Missing Value Imputation In Python.mp434.5 MB
- 39 - Project Exercise 4.html204 bytes
- 40 - 04-07-PDE-Seasonality.pdf364.1 KB
- 40 - Seasonality In Data.mp412.3 MB
- 41 - 04-07-Variable-Transformation.pdf456.1 KB
- 41 - Variable Transformation.mp422.1 MB
- 42 - Variable Transformation And Deletion In Python.mp439.9 MB
- 43 - Project Exercise 5.html204 bytes
- 44 - 04-11-Dummy-Var.pdf163.0 KB
- 44 - Dummy Variable Creation Handling Qualitative Data.mp421.7 MB
- 45 - Dummy Variable Creation In Python.mp443.7 MB
- 46 - Project Exercise 6.html204 bytes
- 47 - 01-INtro.pdf190.4 KB
- 47 - Three Classifiers And The Problem Statement.mp431.8 MB
- 48 - 02-whynot-linear.pdf155.3 KB
- 48 - Why Cant We Use Linear Regression.mp428.0 MB
- 49 - 03-logistic.pdf352.7 KB
- 49 - Logistic Regression.mp455.0 MB
- 50 - Training A Simple Logistic Model In Python.mp476.1 MB
- 51 - Project Exercise 7.html307 bytes
- 52 - 04-P-value.pdf228.0 KB
- 52 - Result Of Simple Logistic Regression.mp444.3 MB
- 53 - 05-Multiple-predictors.pdf151.3 KB
- 53 - Logistic With Multiple Predictors.mp413.6 MB
- 54 - Training Multiple Predictor Logistic Model In Python.mp440.9 MB
- 55 - Project Exercise 8.html307 bytes
- 56 - 06-Confusion-matrix.pdf222.3 KB
- 56 - Confusion Matrix.mp440.1 MB
- 57 - Creating Confusion Matrix In Python.mp475.4 MB
- 58 - 08-ROC.pdf306.9 KB
- 58 - Evaluating Performance Of Model.mp460.1 MB
- 59 - Evaluating Model Performance In Python.mp414.4 MB
- 60 - Project Exercise 9.html204 bytes
- 61 - 07-LDA.pdf183.1 KB
- 61 - Linear Discriminant Analysis.mp467.7 MB
- 62 - Lda In Python.mp417.0 MB
- 63 - Project Exercise 10.html204 bytes
- 64 - 10-Test-Train.pdf238.7 KB
- 64 - Testtrain Split.mp464.6 MB
- 65 - More About Testtrain Split.html512 bytes
- 66 - Testtrain Split In Python.mp452.4 MB
- 67 - Project Exercise 11.html204 bytes
- 6 - 01-01-Lecture-TypesOfData.pdf177.7 KB
- 6 - Types Of Data.mp420.7 MB
- 7 - 01-02-Lecture-TypesOfStatistics.pdf171.7 KB
- 7 - Types Of Statistics.mp47.9 MB
- 8 - 01-03-Lecture-DataSummaryandGraph.pdf317.9 KB
- 8 - Describing Data Graphically.mp461.5 MB
- 9 - 01-04-Lecture-Centers.pdf313.0 KB
- 9 - Measures Of Centers.mp429.8 MB
- 3 - Introduction To Machine Learning.mp4145.6 MB
- 3 - Lecture-machineLearning.pdf991.6 KB
- 4 - This Is A Milestone.mp470.7 MB
- 5 - Building A Machine Learning Model.mp427.7 MB
- 89 - The Final Milestone.mp48.4 MB
- 90 - About Your Certificate.html921 bytes
- 91 - Bonus Lecture.html9.1 KB
- OnlineFood.ipynb1.0 MB
- onlinefoods.xlsx - onlinefoods.csv21.2 KB
- Restaurant_revenue (1).csv88.3 KB
- Resutrants.ipynb2.0 MB
- 72 - 11-results.pdf170.9 KB
- 72 - Understanding The Results Of Classification Models.mp467.0 MB
- 73 - 12-steps.pdf148.1 KB
- 73 - Summary Of The Three Models.mp435.6 MB
- 74 - The Final Exercise.html1.8 KB
- 74 - weekly.csv60.1 KB
- 75 - New Ai Features In Python The Latest Updates You Must Know.html4.6 KB
- 68 - 09-KNN.pdf236.7 KB
- 68 - Knearest Neighbors Classifier.mp4120.4 MB
- 69 - Knearest Neighbors In Python Part 1.mp456.2 MB
- 70 - Knearest Neighbors In Python Part 2.mp464.4 MB
- 71 - Project Exercise 12.html204 bytes
- 10_Test_Train.pdf238.7 KB
- 11_results.pdf170.9 KB
- 12_steps.pdf148.1 KB
- Python_CrashC1.ipynb29.6 KB
- Python_cc2.ipynb169.5 KB
- Product.txt139.5 KB
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