[DesireCourse Net] Udemy Data Science A-Z™ Real-Life Data Science Exercises Included


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Torrent File Content (448 files)


[DesireCourse.Net] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included
    0. Websites you may like
          [CourseClub.Me].url -
48 bytes

          [DesireCourse.Net].url -
51 bytes

    1. Get Excited
          1. Welcome to Data Science A-Z™.mp4 -
75.04 MB

          1. Welcome to Data Science A-Z™.srt -
7.43 KB

          2. BONUS Learning Paths.html -
1.79 KB

          3. Get the materials.html -
317 bytes

          4. Your Shortcut To Becoming A Better Data Scientist!.html -
3.96 KB

    10. Multiple Linear Regression
          1. Intro (what you will learn in this section).mp4 -
46.11 MB

          1. Intro (what you will learn in this section).srt -
2.02 KB

          10. Interpreting coefficients of MLR.mp4 -
168.68 MB

          10. Interpreting coefficients of MLR.srt -
18.51 KB

          11. Section Recap.mp4 -
29.89 MB

          11. Section Recap.srt -
6.8 KB

          2. Caveat assumptions of a linear regression.mp4 -
8.08 MB

          2. Caveat assumptions of a linear regression.srt -
2.69 KB

          3. Get the dataset.mp4 -
62.3 MB

          3. Get the dataset.srt -
6.38 KB

          4. Dummy Variables.mp4 -
69.76 MB

          4. Dummy Variables.srt -
12.13 KB

          5. Dummy Variable Trap.mp4 -
20.9 MB

          5. Dummy Variable Trap.srt -
3.51 KB

          6. Understanding the P-Value.mp4 -
56.49 MB

          6. Understanding the P-Value.srt -
20.63 KB

          7. Ways to build a model BACKWARD, FORWARD, STEPWISE.mp4 -
98.86 MB

          7. Ways to build a model BACKWARD, FORWARD, STEPWISE.srt -
23.56 KB

          8. Backward Elimination - Practice time.mp4 -
186.94 MB

          8. Backward Elimination - Practice time.srt -
25.01 KB

          9. Using Adjusted R-squared to create Robust models.mp4 -
167.16 MB

          9. Using Adjusted R-squared to create Robust models.srt -
15.19 KB

    11. Logistic Regression
          1. Intro (what you will learn in this section).mp4 -
57.88 MB

          1. Intro (what you will learn in this section).srt -
2.65 KB

          2. Get the dataset.mp4 -
36.43 MB

          2. Get the dataset.srt -
5.59 KB

          3. Binary outcome YesNo-Type Business Problems.mp4 -
79.23 MB

          3. Binary outcome YesNo-Type Business Problems.srt -
13.41 KB

          4. Logistic regression intuition.mp4 -
82.73 MB

          4. Logistic regression intuition.srt -
25.29 KB

          5. Your first logistic regression.mp4 -
89.11 MB

          5. Your first logistic regression.srt -
11.84 KB

          6. False Positives and False Negatives.mp4 -
44.03 MB

          6. False Positives and False Negatives.srt -
11.51 KB

          7. Confusion Matrix.mp4 -
20.48 MB

          7. Confusion Matrix.srt -
7.41 KB

          8. Interpreting coefficients of a logistic regression.mp4 -
103.53 MB

          8. Interpreting coefficients of a logistic regression.srt -
14.08 KB

    12. Building a robust geodemographic segmentation model
          1. Intro (what you will learn in this section).mp4 -
37.22 MB

          1. Intro (what you will learn in this section).srt -
1.84 KB

          10. Model is Ready and Section Recap.mp4 -
59.58 MB

          10. Model is Ready and Section Recap.srt -
9.2 KB

          2. Get the dataset.mp4 -
130.14 MB

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