
3.53 GB | 38min 3s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Course Overview.mp4 (9.99 MB)
2 Introduction to PySpark and Databricks.mp4 (95.34 MB)
3 Setting up Your Databricks Environment.mp4 (17.48 MB)
4 Inside Databricks.mp4 (23.96 MB)
5 Transformations vs Actions.mp4 (96.03 MB)
6 PySpark Data Structures.mp4 (47.29 MB)
7 Schema and data types.mp4 (28.2 MB)
8 Creating DataFrames.mp4 (9.94 MB)
9 Creating DataFrames - Part 2.mp4 (27.52 MB)
10 Importing PySpark Functions in Databricks.mp4 (14.93 MB)
11 Loading and Displaying Data in Databricks.mp4 (104.97 MB)
12 Infer Schema.mp4 (5.31 MB)
13 Data Manipulation with PySpark.mp4 (8.85 MB)
14 Selecting, Adding and Removing Columns.mp4 (53.84 MB)
15 Renaming Columns.mp4 (21.46 MB)
16 Count, Count Distinct, Sort, Cast.mp4 (78.7 MB)
17 Filtering Data.mp4 (55.46 MB)
18 Filtering Contains and Like.mp4 (33.63 MB)
19 Between and isin.mp4 (64.73 MB)
20 Fill and Replace Values, Handling Missing Data.mp4 (78.7 MB)
21 Handling Missing Data 2.mp4 (45.43 MB)
22 Case When.mp4 (46.69 MB)
23 Aggregating Data.mp4 (53.64 MB)
24 Pivot Table.mp4 (29.49 MB)
25 Dealing with Date and Time.mp4 (97.82 MB)
26 Window.mp4 (154.31 MB)
27 Joining Datasets.mp4 (244.18 MB)
28 Percentile.mp4 (8.12 MB)
29 Median (Update).mp4 (4.52 MB)
30 Other Useful Functions.mp4 (62.91 MB)
31 Other Useful Functions Part 2.mp4 (135.14 MB)
32 Data Caching.mp4 (31.88 MB)
33 Saving Data to CSV.mp4 (25.78 MB)
34 Saving Data to Databricks File System.mp4 (44.79 MB)
35 Exercises.mp4 (22.14 MB)
36 Exercises Solutions.mp4 (190.86 MB)
37 Query Optimization.mp4 (87.25 MB)
38 Cache and Persist.mp4 (78.74 MB)
39 Best practices for handling large datasets.mp4 (80.63 MB)
40 DataFrame API vs SQL API.mp4 (18.16 MB)
41 Working with SQL.mp4 (40.52 MB)
42 Basic SQL Queries.mp4 (61.13 MB)
43 Introduction to Machine Learning with Pyspark.mp4 (66.95 MB)
44 MLlib Regression Diamonds Prices.mp4 (71.77 MB)
45 MLlib Regression Diamonds Prices.mp4 (139.34 MB)
46 MLlib Regression Diamonds Prices.mp4 (121.78 MB)
47 ML Case 2 - Logistic Regression.mp4 (18.26 MB)
48 Feature engineering.mp4 (73.38 MB)
49 Preparing Data for Modeling.mp4 (108.64 MB)
50 Training and Evaluating Machine Learning Models.mp4 (56.27 MB)
51 Model Tunning.mp4 (128.38 MB)
52 Bloppers.mp4 (32.89 MB)
53 Introduction to Polars.mp4 (295.68 MB)]
Screenshot
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