|
RAR-files |
| packt.basic.statistics.and.regression.for.machine.learning.in.python-xqzt.rar |
600,000,000 |
DA928C2A |
| packt.basic.statistics.and.regression.for.machine.learning.in.python-xqzt.r00 |
600,000,000 |
A2F41792 |
| packt.basic.statistics.and.regression.for.machine.learning.in.python-xqzt.r01 |
600,000,000 |
D731E000 |
| packt.basic.statistics.and.regression.for.machine.learning.in.python-xqzt.r02 |
600,000,000 |
9A39EC7B |
| packt.basic.statistics.and.regression.for.machine.learning.in.python-xqzt.r03 |
600,000,000 |
84C6A78F |
| packt.basic.statistics.and.regression.for.machine.learning.in.python-xqzt.r04 |
600,000,000 |
03A5F541 |
| packt.basic.statistics.and.regression.for.machine.learning.in.python-xqzt.r05 |
600,000,000 |
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| packt.basic.statistics.and.regression.for.machine.learning.in.python-xqzt.r06 |
600,000,000 |
FA5EE952 |
| packt.basic.statistics.and.regression.for.machine.learning.in.python-xqzt.r07 |
600,000,000 |
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| packt.basic.statistics.and.regression.for.machine.learning.in.python-xqzt.r08 |
600,000,000 |
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| packt.basic.statistics.and.regression.for.machine.learning.in.python-xqzt.r09 |
600,000,000 |
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| packt.basic.statistics.and.regression.for.machine.learning.in.python-xqzt.r10 |
600,000,000 |
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| packt.basic.statistics.and.regression.for.machine.learning.in.python-xqzt.r11 |
600,000,000 |
952E6E6B |
| packt.basic.statistics.and.regression.for.machine.learning.in.python-xqzt.r12 |
600,000,000 |
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| packt.basic.statistics.and.regression.for.machine.learning.in.python-xqzt.r13 |
600,000,000 |
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| packt.basic.statistics.and.regression.for.machine.learning.in.python-xqzt.r14 |
600,000,000 |
DE046E8D |
| packt.basic.statistics.and.regression.for.machine.learning.in.python-xqzt.r15 |
227,113,704 |
EB89491F |
|
| Total size: |
9,827,113,704 |
|
|
| Archived
files |
|
01.01-course_introduction_and_table_of_contents.mkv
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823,229,353 |
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02.01-environment_setup-part_1.mkv
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197,464,821 |
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02.02-environment_setup-part_2.mkv
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03.01-essential_components_included_in_anaconda.mkv
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04.01-python_basics-assignment.mkv
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05.01-python_basics-flow_control-part_1.mkv
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05.02-python_basics-flow_control-part_2.mkv
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06.01-python_basics-list_and_tuples.mkv
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07.01-python_basics-dictionary_and_functions-part_1.mkv
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148,826,623 |
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07.02-python_basics-dictionary_and_functions-part_2.mkv
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109,225,097 |
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08.01-numpy_basics-part_1.mkv
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122,654,035 |
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08.02-numpy_basics-part_2.mkv
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09.01-matplotlib_basics-part_1.mkv
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147,727,223 |
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09.02-matplotlib_basics-part_2.mkv
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113,216,032 |
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10.01-basics_of_data_for_machine_learning.mkv
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160,613,325 |
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11.01-central_data_tendency-mean.mkv
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212,217,490 |
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12.01-central_data_tendency-median_and_mode-part_1.mkv
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86,962,748 |
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12.02-central_data_tendency-median_and_mode-part_2.mkv
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13.01-variance_and_standard_deviation_manual_calculation-part_1.mkv
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13.02-variance_and_standard_deviation_manual_calculation-part_2.mkv
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14.01-variance_and_standard_deviation_using_python.mkv
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97,362,400 |
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15.01-percentile_manual_calculation.mkv
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133,577,655 |
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16.01-percentile_using_python.mkv
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17.01-uniform_distribution.mkv
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18.01-normal_distribution-part_1.mkv
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18.02-normal_distribution-part_2.mkv
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19.01-manual_z_score_calculation.mkv
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20.01-z-score_calculation_using_python.mkv
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184,192,605 |
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21.01-multi_variable_dataset_scatter_plot.mkv
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22.01-introduction_to_linear_regression.mkv
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23.01-manually_finding_linear_regression_correlation_coefficient-part_1.mkv
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184,136,550 |
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23.02-manually_finding_linear_regression_correlation_coefficient-part_2.mkv
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185,987,171 |
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24.01-manually_finding_linear_regression_slope_equation-part_1.mkv
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24.02-manually_finding_linear_regression_slope_equation-part_2.mkv
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86,214,499 |
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25.01-manually_predicting_the_future_value_using_equation.mkv
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107,377,018 |
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26.01-linear_regression_using_python_introduction.mkv
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129,521,348 |
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27.01-linear_regression_using_python-part_1.mkv
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149,108,534 |
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27.02-linear_regression_using_python-part_2.mkv
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28.01-strong_and_weak_linear_regression.mkv
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158,187,101 |
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29.01-predicting_future_value_using_linear_regression_in_python.mkv
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105,484,207 |
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30.01-polynomial_regression_introduction.mkv
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|
163,881,941 |
7876F40B |
|
31.01-polynomial_regression_visualization.mkv
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177,806,639 |
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32.01-polynomial_regression_prediction_and_r2_value.mkv
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112,196,885 |
E409FBBF |
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33.01-polynomial_regression_finding_sd_components.mkv
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155,114,695 |
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34.01-polynomial_regression_manual_method_equations.mkv
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|
215,108,702 |
37F1675F |
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35.01-finding_sd_components_for_abc.mkv
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144,337,166 |
9122E739 |
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36.01-finding_abc.mkv
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127,046,088 |
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37.01-polynomial_regression_equation_and_prediction.mkv
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88,175,756 |
EDC29FFA |
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38.01-polynomial_regression_coefficient.mkv
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175,702,820 |
014AD3A3 |
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39.01-multiple_regression_introduction.mkv
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|
155,750,183 |
15150B73 |
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40.01-multiple_regression_using_python-data_import_as_csv.mkv
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159,364,877 |
7B5A909F |
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41.01-multiple_regression_using_python-data_visualization.mkv
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118,229,123 |
31E4FBE3 |
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42.01-creating_multiple_regression_object_and_prediction_using_python.mkv
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151,715,328 |
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43.01-manual_multiple_regression-intro_and_finding_means.mkv
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173,561,018 |
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44.01-manual_multiple_regression-finding_components-part_1.mkv
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173,411,871 |
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44.02-manual_multiple_regression-finding_components-part_2.mkv
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45.01-manual_multiple_regression-finding_abc.mkv
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144,218,869 |
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46.01-manual_multiple_regression_equation_prediction_and_coefficients.mkv
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47.01-feature_scaling_introduction.mkv
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152,210,712 |
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48.01-standardization_scaling_using_python-part_1.mkv
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48.02-standardization_scaling_using_python-part_2.mkv
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49.01-standardization_scaling_using_manual_calculation-part_1.mkv
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49.02-standardization_scaling_using_manual_calculation-part_2.mkv
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113,643,461 |
426D936F |
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| Total size: |
9,827,106,212 |
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