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种子名称： [FreeTutorials.Us] data-science-using-r
文件类型： 视频
文件数目： 171个文件
文件大小： 4.18 GB
收录时间： 2018-6-25 05:15
已经下载： 3次
资源热度： 84
最近下载： 2024-9-3 14:19

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[FreeTutorials.Us] data-science-using-r.torrent

01-introduction-to-data-science/001-introduction.mp48.92MB

01-introduction-to-data-science/002-data-generation-and-information-age.mp416.52MB

01-introduction-to-data-science/003-big-data-and-getting-drenched-in-data.mp445.6MB

01-introduction-to-data-science/004-why-data-science......mp431.95MB

02-basic-statistics/005-data-types-and-preliminaries.mp416.06MB

02-basic-statistics/006-random-variable.mp410.16MB

02-basic-statistics/007-what-is-probability....mp47.21MB

02-basic-statistics/008-probability-distribution.mp423.39MB

02-basic-statistics/009-recap-of-concepts-and-probability-applications.mp416.7MB

02-basic-statistics/010-sampling-funnel.mp48.59MB

02-basic-statistics/011-measures-of-central-tendency.mp430.75MB

02-basic-statistics/012-measures-of-dispersion.mp413.64MB

02-basic-statistics/013-measures-of-dispersion-part2.mp431.39MB

02-basic-statistics/014-excpected-value-and-variance-for-discrete-data.mp46.75MB

02-basic-statistics/015-preliminaries-of-r-aad-r-studio.mp413.32MB

02-basic-statistics/016-various-components-and-basics-of-r-studio.mp411.93MB

02-basic-statistics/017-data-visualization-using-rbarplothistogramskewness.mp448.95MB

02-basic-statistics/018-3rd-and-4th-moment-business-decision.mp415.84MB

02-basic-statistics/019-recap-and-box-plot.mp421.8MB

02-basic-statistics/020-normal-distributionpart-1.mp414.28MB

02-basic-statistics/021-normal-distributionpart-2-standarad-normal-distribution.mp431.03MB

02-basic-statistics/022-standard-normal-distribution-part-2.mp415.14MB

02-basic-statistics/023-calculating-probabilities-from-zdistribution.mp428.13MB

02-basic-statistics/024-sampling-variation-samplesize-central-limit-theorm.mp421.01MB

02-basic-statistics/025-normal-quantile-plot-qqplot.mp412.17MB

02-basic-statistics/026-recap-confidence-interval.mp421.33MB

02-basic-statistics/027-confidence-interval-zdistribution-part1.mp418.01MB

02-basic-statistics/028-confidence-interval-zdistribution-part2.mp427.69MB

02-basic-statistics/029-confidence-interval-interpretation.mp46.07MB

02-basic-statistics/030-confidence-interval-tdistribution.mp433.54MB

02-basic-statistics/031-anova-part-1.mp417.86MB

02-basic-statistics/032-anova-part-2.mp416.63MB

02-basic-statistics/033-recap-basic-statistics.mp418.66MB

03-hypothesis-testing-introduction/034-hypothesis-testing-introduction.mp423.01MB

03-hypothesis-testing-introduction/035-hypothesis-testing-formulation.mp422.37MB

03-hypothesis-testing-introduction/036-hypothesis-testing-various-types-of-tests.mp48.48MB

04-hypothesis-testing-parametric/037-2-sample-ttest-part1.mp434.55MB

04-hypothesis-testing-parametric/038-2-sample-ttest-part2.mp415.71MB

04-hypothesis-testing-parametric/039-2-sample-ttest-part3.mp418.77MB

04-hypothesis-testing-parametric/040-one-way-anova-part1.mp417.94MB

04-hypothesis-testing-parametric/041-one-way-anova-part2.mp410.07MB

04-hypothesis-testing-parametric/042-one-way-anova-part3.mp47.52MB

04-hypothesis-testing-parametric/043-anova12-multiple-way.mp46.62MB

04-hypothesis-testing-parametric/044-2-proportion-test.mp422.94MB

04-hypothesis-testing-parametric/045-recap-hypothesis-testing.mp410.61MB

04-hypothesis-testing-parametric/046-1-sample-z-test-part1.mp417.44MB

04-hypothesis-testing-parametric/047-1-sample-z-test-part2.mp428.78MB

04-hypothesis-testing-parametric/048-1-sample-t-test.mp432.34MB

04-hypothesis-testing-parametric/049-1-sample-sign-test.mp414.49MB

04-hypothesis-testing-parametric/050-paired-t-test.mp425.24MB

04-hypothesis-testing-parametric/051-tukey-pairwise-comparisons-part1.mp436.63MB

04-hypothesis-testing-parametric/052-tukey-pairwise-comparisons-part2.mp429.64MB

05-hypothesis-testingnon-parametric/053-chi-square-test.mp416.79MB

05-hypothesis-testingnon-parametric/054-mann-whitney-test.mp423.53MB

05-hypothesis-testingnon-parametric/055-paired-t-test-assumption.mp420.19MB

05-hypothesis-testingnon-parametric/056-moods-median-test.mp422.21MB

06-basics-of-rprogramming/057-basic-programing-using-r-part-1.mp433.46MB

06-basics-of-rprogramming/058-basic-programing-using-r-part-2.mp427.01MB

06-basics-of-rprogramming/059-basic-programing-using-r-part-3.mp431.28MB

06-basics-of-rprogramming/060-basic-programing-using-r-part-4.mp433.45MB

06-basics-of-rprogramming/061-r-programming-case-study-part-1.mp413.48MB

06-basics-of-rprogramming/062-r-programming-case-study-part-2.mp435.93MB

06-basics-of-rprogramming/063-r-programming-case-study-part-3.mp447.37MB

06-basics-of-rprogramming/064-r-programming-case-study-part-4.mp430.45MB

06-basics-of-rprogramming/065-stastical-packages-in-r.mp420.76MB

06-basics-of-rprogramming/066-r-programming-case-study-using-inbuilt-datasets.mp440.31MB

06-basics-of-rprogramming/067-case-study-on-data-visualization-using-r-part-1.mp442.21MB

06-basics-of-rprogramming/068-case-study-on-data-visualization-using-r-part-2.mp417.86MB

06-basics-of-rprogramming/069-case-studay-on-data-visualization-using-r-part-3.mp424.57MB

06-basics-of-rprogramming/070-case-study-on-data-visualization-using-r-part-4.mp426.34MB

06-basics-of-rprogramming/071-recap-exploratory-data-analysis.mp428.81MB

07-predictive-analytics/072-scatter-diagram.mp417.62MB

07-predictive-analytics/073-correlation-coefficient.mp417.14MB

07-predictive-analytics/074-simple-linear-regression-introduction.mp420.95MB

07-predictive-analytics/075-simple-linear-regression-using-r-part-1.mp444.13MB

07-predictive-analytics/076-simple-linear-regression-using-r-part-2.mp428.32MB

07-predictive-analytics/077-simple-linear-regression-using-r-part-3.mp422.17MB

07-predictive-analytics/078-simple-linear-regression-using-r-part-4.mp427.99MB

07-predictive-analytics/079-multiple-linear-regression-introduction.mp424.19MB

07-predictive-analytics/080-multiple-linear-regression-using-r-part-1.mp430.74MB

07-predictive-analytics/081-multiple-linear-regression-using-r-part-2.mp420.42MB

07-predictive-analytics/082-multiple-linear-regression-using-r-part-3.mp439.01MB

07-predictive-analytics/083-recap-linear-regression.mp433.3MB

07-predictive-analytics/084-understanding-logistic-regression-concepts.mp445.14MB

07-predictive-analytics/085-logistic-regression-part-1.mp440.59MB

07-predictive-analytics/086-logistic-regression-part-2.mp436.43MB

07-predictive-analytics/087-logistic-regression-part-3.mp429.38MB

07-predictive-analytics/088-logistic-regression-part-4.mp431.32MB

07-predictive-analytics/089-logistic-regressionlogistic-function-representation.mp433.35MB

07-predictive-analytics/090-logistic-regression-part-5.mp435.57MB

07-predictive-analytics/091-logistic-regression-confusion-matrix.mp426.29MB

07-predictive-analytics/092-logistic-regressionroc.mp427.37MB

07-predictive-analytics/093-logistic-regressionroc-case-studies-part-1.mp425.03MB

07-predictive-analytics/094-logistic-regressionroc-case-studies-part-2.mp437.88MB

08-data-miningclustering-using-r/095-introduction-to-clustering.mp422.53MB

08-data-miningclustering-using-r/096-types-of-data-mining-techniques.mp419.66MB

08-data-miningclustering-using-r/097-hierarchical-clustering-introduction.mp415.95MB

08-data-miningclustering-using-r/098-hierarchical-clustering-case-study.mp416.84MB

08-data-miningclustering-using-r/099-calculating-distance-for-categorical-data.mp415.74MB

08-data-miningclustering-using-r/100-calculating-distance-for-mixed-data-with-case-study.mp430.62MB

08-data-miningclustering-using-r/101-calculating-distance-for-mixed-data-case-study-part-2.mp411.55MB

08-data-miningclustering-using-r/102-calculating-distance-between-clusters-with-case-study.mp422.12MB

08-data-miningclustering-using-r/103-hierarchical-clustering-synopsis.mp410.65MB

08-data-miningclustering-using-r/104-hierarchical-clustering-using-r-part-1.mp421.52MB

08-data-miningclustering-using-r/105-hierarchical-clustering-using-r-part-2.mp422.47MB

08-data-miningclustering-using-r/106-k-means-clustering-introduction.mp47.68MB

08-data-miningclustering-using-r/107-k-means-clustering-using-r-part-1.mp427.14MB

08-data-miningclustering-using-r/108-k-means-clustering-using-r-part-2.mp433.46MB

08-data-miningclustering-using-r/109-k-means-clustering-using-r-part-3.mp429.66MB

08-data-miningclustering-using-r/110-k-means-clustering-using-r-part-4.mp425.07MB

08-data-miningclustering-using-r/111-summary-of-k-means-clustering.mp46.17MB

08-data-miningclustering-using-r/112-difference-between-k-means-and-hierarchical.mp46.5MB

08-data-miningclustering-using-r/113-k-means-clustering-case-study.mp429.36MB

08-data-miningclustering-using-r/114-recap-data-mining-clustering.mp425.42MB

09-dimension-reduction/115-dimension-reduction-introduction.mp46.66MB

09-dimension-reduction/116-dimension-reduction-applications.mp435.55MB

09-dimension-reduction/117-pca-key-benefits.mp420.76MB

09-dimension-reduction/118-pca-intuition.mp418.34MB

09-dimension-reduction/119-pca-preliminaries-and-weights.mp440.75MB

09-dimension-reduction/120-standardize-variables-and-pca-calculation.mp412.92MB

09-dimension-reduction/121-pca-first-goal.mp429.1MB

09-dimension-reduction/122-pca-second-goal.mp414.35MB

09-dimension-reduction/123-pca-third-goal-and-additional-benefits.mp421.9MB

10-association-rules/124-association-rules-introduction.mp412.75MB

10-association-rules/125-market-basket-analysis.mp47.47MB

10-association-rules/126-association-rules-part-1.mp412.59MB

10-association-rules/127-association-rules-part-2.mp427.73MB

10-association-rules/128-association-rulescase-studay-and-terminology.mp416.2MB

10-association-rules/129-association-rulesperformance-measures-and-support-calculation.mp430.54MB

10-association-rules/130-association-rulesconfidance-calculation.mp426.05MB

10-association-rules/131-association-ruleslift-calculation.mp430.73MB

10-association-rules/132-association-rulesrules-selection-process-and-applications.mp425.21MB

11-recommendation-system/133-recommendation-system-introduction.mp422.81MB

11-recommendation-system/134-what-item-to-recommend.mp419.08MB

11-recommendation-system/135-recommender-system-disadvantages.mp427.83MB

11-recommendation-system/136-recommendation-reduction-process.mp45.32MB

11-recommendation-system/137-recap-dimension-reduction-and-association-rules.mp422.22MB

12-text-mining-using-r/138-introductionimportance-and-bag-of-words-representation.mp413.72MB

12-text-mining-using-r/139-terminology-and-preprocessing-of-data.mp419.55MB

12-text-mining-using-r/140-dtm-and-tdm-format.mp414.86MB

12-text-mining-using-r/141-corpus-level-word-cloud.mp459.42MB

12-text-mining-using-r/142-brief-case-study-on-real-project-part-1.mp444.8MB

12-text-mining-using-r/143-brief-case-study-on-real-project-part-2.mp443.56MB

12-text-mining-using-r/144-twitter-data-extraction-using-r.mp434.58MB

12-text-mining-using-r/145-amazon-data-extraction-using-r.mp423.19MB

12-text-mining-using-r/146-recap-text-mining.mp47.32MB

13-forecasting-using-xl-miner/147-forecasting-introduction-and-agenda-for-introduction.mp459.31MB

13-forecasting-using-xl-miner/148-who-forecasts.mp437.24MB

13-forecasting-using-xl-miner/149-forecasting-strategydefining-goal.mp430.04MB

13-forecasting-using-xl-miner/150-forecastingdata-collection-and-various-components.mp433.27MB

13-forecasting-using-xl-miner/151-forecasting-seasonal-trend-random-components.mp424.29MB

13-forecasting-using-xl-miner/152-forecastingdata-exploration-visualization.mp449.13MB

13-forecasting-using-xl-miner/153-forecastingdata-visualization-principles.mp413.47MB

13-forecasting-using-xl-miner/154-forecastingerror-measures.mp411.95MB

13-forecasting-using-xl-miner/155-exploratory-data-analysis-using-walmart-footfalls-example-part1.mp458.86MB

13-forecasting-using-xl-miner/156-exploratory-data-analysis-using-walmart-footfalls-example-part2.mp414.03MB

13-forecasting-using-xl-miner/157-evaluating-predictive-accuracy.mp423.37MB

13-forecasting-using-xl-miner/158-forecasting-different-methods.mp47.92MB

14-forecasting-model-based-approaches/159-forecasting-methodslinear-model.mp442.54MB

14-forecasting-model-based-approaches/160-forecasting-methodsexponential-quadratic-and-additive-seasonality-models.mp459.22MB

14-forecasting-model-based-approaches/161-forecasting-methods-additive-seasonality-with-trendmultiplicative-seasonality.mp462.39MB

14-forecasting-model-based-approaches/162-forecastingirregular-components..mp412.13MB

14-forecasting-model-based-approaches/163-recap-understanding-forecasting.mp420.41MB

15-forecasting-data-driven-approaches/164-forecasting-autocorrelation-model.mp482.09MB

15-forecasting-data-driven-approaches/165-forecastingmodel-based-approach-vs-data-driven-approach.mp410.6MB

15-forecasting-data-driven-approaches/166-forecast-methods-based-on-smoothing.mp433.93MB

15-forecasting-data-driven-approaches/167-forecast-methods-exponential-smoothing.mp429.68MB

15-forecasting-data-driven-approaches/168-forecast-data-driven-holts-and-winter-method.mp436.48MB

15-forecasting-data-driven-approaches/169-forecast-data-drivenseasonal-indexes.mp417.43MB

15-forecasting-data-driven-approaches/170-forecast-seasonal-indexescentered-moving-average-hands-on.mp463.14MB

15-forecasting-data-driven-approaches/171-forecasting-logistic-regression-using-xlminer.mp429.94MB