Udemy Data Science in Python Regression Forecasting 2023 | C81D2CBB6E20F3312E7ADD7FB8C91B07D8B8A299

Udemy Data Science in Python Regression Forecasting 2023

Name	Udemy - Data Science in Python Regression & Forecasting (8.2023)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.4 GB
Total Files	154
Last Seen
Hash	C81D2CBB6E20F3312E7ADD7FB8C91B07D8B8A299

/1 - Getting Started/
1 - Course Introduction.mp4	32.2 MB
1 - Getting Started/
2 - About This Series.mp4	4.2 MB
3 - Course Structure Outline.mp4	11.4 MB
4 - READ ME Important Notes for New Students.html	4.9 KB
5 - Data-Science-in-Python-Regression.pdf	19.4 MB
5 - Data-Science-in-Python-Regression.zip	18.7 MB
5 - DOWNLOAD Course Resources.html	0.5 KB
6 - Introducing the Course Project.mp4	4.9 MB
7 - Setting Expectations.mp4	8.3 MB
8 - Jupyter Installation Launch.mp4	25.0 MB
10 - Project 1 San Francisco Rent Prices/
108 - Project Brief.mp4	41.4 MB
109 - Solution Walkthrough.mp4	137.6 MB
11 - Regularized Regression/
110 - Intro to Regularized Regression.mp4	16.7 MB
111 - Ridge Regression.mp4	14.7 MB
112 - Standardization.mp4	27.2 MB
113 - Fitting a Ridge Regression Model.mp4	26.9 MB
114 - DEMO Fitting a Ridge Regression.mp4	29.7 MB
115 - PRO TIP RidgeCV.mp4	20.6 MB
116 - ASSIGNMENT Ridge Regression.mp4	7.1 MB
117 - SOLUTION Ridge Regression.mp4	13.1 MB
118 - Lasso Regression.mp4	36.8 MB
119 - PRO TIP LassoCV.mp4	19.5 MB
120 - ASSIGNMENT Lasso Regression.mp4	4.7 MB
121 - SOLUTION Lasso Regression.mp4	12.5 MB
122 - Elastic Net Regression.mp4	17.9 MB
123 - DEMO Fitting an Elastic Net Regression.mp4	25.0 MB
124 - PRO TIP ElasticNetCV.mp4	15.9 MB
125 - ASSIGNMENT Elastic Net Regression.mp4	4.4 MB
126 - SOLUTION Elastic Net Regression.mp4	14.2 MB
127 - RECAP Regularized Regression Models.mp4	10.2 MB
128 - PREVIEW Tree Based Models.mp4	31.8 MB
129 - Key Takeaways.mp4	9.8 MB
12 - Project 1 San Francisco Rent Prices Continued/
130 - Project Brief.mp4	19.6 MB
131 - Solution Walkthrough.mp4	62.7 MB
13 - Time Series Analysis/
132 - Intro to Time Series.mp4	17.4 MB
133 - Moving Averages.mp4	19.4 MB
134 - DEMO Moving Averages.mp4	25.4 MB
135 - Exponential Smoothing.mp4	8.2 MB
136 - ASSIGNMENT Smoothing.mp4	11.2 MB
137 - SOLUTION Smoothing.mp4	15.8 MB
138 - Decomposition.mp4	22.6 MB
139 - DEMO Decomposition.mp4	13.6 MB
140 - PRO TIP Autocorrelation Chart.mp4	18.0 MB
141 - ASSIGNMENT Decomposition.mp4	7.5 MB
142 - SOLUTION Decomposition.mp4	25.7 MB
143 - Forecasting.mp4	17.0 MB
144 - Linear Regression With Trend Season.mp4	21.1 MB
145 - DEMO Linear Regression With Trend Season.mp4	33.5 MB
146 - Facebook Prophet.mp4	40.6 MB
147 - ASSIGNMENT Forecasting.mp4	7.5 MB
148 - SOLUTION Forecasting.mp4	48.6 MB
149 - Key Takeaways.mp4	8.0 MB
14 - Project 2 Electricity Consumption/
150 - Project Brief.mp4	16.4 MB
151 - Solution Walkthrough.mp4	71.9 MB
15 - Next Steps/
152 - EXTRA LESSON.html	10.5 KB
2 - Intro to Data Science/
10 - Data Science Skillset.mp4	10.1 MB
11 - What is Machine Learning.mp4	9.5 MB
12 - Common Machine Learning Algorithms.mp4	12.8 MB
13 - Data Science Workflow.mp4	3.8 MB
14 - Step 1 Scoping a Project.mp4	5.4 MB
15 - Step 2 Gathering Data.mp4	7.9 MB
16 - Step 3 Cleaning Data.mp4	8.4 MB
17 - Step 4 Exploring Data.mp4	7.7 MB
18 - Step 5 Modeling Data.mp4	8.5 MB
19 - Step 6 Sharing Insights.mp4	13.2 MB
20 - Regression Modeling.mp4	4.0 MB
21 - Key Takeaways.mp4	6.8 MB
9 - What is Data Science.mp4	11.6 MB
3 - Regression 101/
22 - Regression 101.mp4	31.9 MB
23 - Goals of Regression.mp4	13.8 MB
24 - Types of Regression.mp4	7.7 MB
25 - Regression Modeling Workflow.mp4	15.4 MB
26 - Key Takeaways.mp4	6.8 MB
4 - PreModeling Data Prep EDA/
27 - EDA for Regression.mp4	9.0 MB
28 - Exploring the Target.mp4	35.8 MB
29 - Exploring the Features.mp4	24.2 MB
30 - ASSIGNMENT Exploring the Target Features.mp4	6.4 MB
31 - SOLUTION Exploring the Target Features.mp4	28.7 MB
32 - Linear Relationships Correlation.mp4	40.2 MB
33 - Linear Relationships in Python.mp4	29.0 MB
34 - FeatureTarget Relationships.mp4	26.8 MB
35 - FeatureFeature Relationships.mp4	24.0 MB
36 - PRO TIP Pairplots Lmplots.mp4	57.6 MB
37 - ASSIGNMENT Exploring Relationships.mp4	7.3 MB
38 - SOLUTION Exploring Relationships.mp4	31.2 MB
39 - Preparing For Modeling.mp4	15.7 MB
40 - Key Takeaways.mp4	6.5 MB
5 - Simple Linear Regression/
41 - Simple Linear Regression.mp4	7.6 MB
42 - The Linear Regression Model.mp4	10.3 MB
43 - Least Squared Error.mp4	19.2 MB
44 - Linear Regression in Python.mp4	25.5 MB
45 - Linear Regression in Statsmodels.mp4	30.6 MB
46 - Interpreting the Model.mp4	12.2 MB
47 - Making Predictions.mp4	20.7 MB
48 - RSquared.mp4	19.0 MB
49 - Hypothesis Tests.mp4	14.9 MB
50 - The FTest.mp4	9.6 MB
51 - Coefficient Estimates PValues.mp4	9.1 MB
52 - Residual Plots.mp4	16.7 MB
53 - CASE STUDY Modeling Health Insurance Prices.mp4	67.8 MB
54 - ASSIGNMENT Simple Linear Regression.mp4	8.4 MB
55 - SOLUTION Simple Linear Regression.mp4	33.6 MB
56 - Key Takeaways.mp4	7.4 MB
6 - Multiple Linear Regression/
57 - Multiple Linear Regression Equation.mp4	14.8 MB
58 - Fitting a Multiple Linear Regression.mp4	37.8 MB
59 - Interpreting Multiple Linear Regression Models.mp4	11.3 MB
60 - Variable Selection.mp4	30.4 MB
61 - ASSIGNMENT Multiple Linear Regression.mp4	12.2 MB
62 - SOLUTION Multiple Linear Regression.mp4	42.2 MB
63 - Mean Error Metrics.mp4	22.5 MB
64 - DEMO Mean Error Metrics.mp4	21.3 MB
65 - Adjusted RSquared.mp4	26.1 MB
66 - ASSIGNMENT Mean Error Metrics.mp4	8.3 MB
67 - SOLUTION Mean Error Metrics.mp4	12.5 MB
68 - Key Takeaways.mp4	8.8 MB
7 - Model Assumptions/
69 - Assumptions of Linear Regression.mp4	16.7 MB
70 - Linearity.mp4	45.6 MB
71 - Independence of Errors.mp4	19.9 MB
72 - Normality of Errors.mp4	19.4 MB
73 - DEMO Normality of Errors.mp4	75.9 MB
74 - PRO TIP Interpreting Transformed Targets.mp4	20.0 MB
75 - No Perfect Multicollinearity.mp4	48.0 MB
76 - Equal Variance of Errors.mp4	21.5 MB
77 - Outliers Leverage Influence.mp4	45.5 MB
78 - RECAP Assumptions of Linear Regression.mp4	62.8 MB
79 - ASSIGNMENT Model Assumptions.mp4	12.7 MB
80 - SOLUTION Model Assumptions.mp4	63.0 MB
81 - Key Takeaways.mp4	13.3 MB
8 - Model Testing Validation/
82 - Model Scoring Steps.mp4	20.1 MB
83 - Data Splitting.mp4	33.8 MB
84 - Overfitting Underfitting.mp4	18.7 MB
85 - The BiasVariance Tradeoff.mp4	24.8 MB
86 - Validation Data.mp4	32.7 MB
87 - Model Tuning.mp4	36.5 MB
88 - Model Scoring.mp4	22.7 MB
89 - Cross Validation.mp4	38.9 MB
90 - Simple vs Cross Validation.mp4	15.6 MB
91 - ASSIGNMENT Model Testing Validation.mp4	7.2 MB
92 - SOLUTION Model Testing Validation.mp4	22.1 MB
93 - Key Takeaways.mp4	6.1 MB
9 - Feature Engineering/
100 - Dummy Variables.mp4	23.1 MB
101 - DEMO Dummy Variables.mp4	26.4 MB
102 - Binning Categorical Data.mp4	32.4 MB
103 - Binning Numeric Data.mp4	27.4 MB
104 - DEMO Additional Feature Engineering Ideas.mp4	38.5 MB
105 - ASSIGNMENT Feature Engineering.mp4	9.5 MB
106 - SOLUTION Feature Engineering.mp4	46.7 MB
107 - Key Takeaways.mp4	8.1 MB
94 - Intro To Feature Engineering.mp4	17.4 MB
95 - Feature Engineering Techniques.mp4	11.7 MB
96 - Polynomial Terms.mp4	44.5 MB
97 - Combining Features.mp4	43.0 MB
98 - Interaction Terms.mp4	34.3 MB
99 - Categorical Features.mp4	33.5 MB
Total files 154