1 Introduction.mp4 (18.65 MB)
50 Learn about Logistic Regression.mp4 (38.33 MB)
51 Learn about Gradient Descent.mp4 (45.32 MB)
52 Implement Logistic Regression part 1.mp4 (145.28 MB)
52 logistic.zip (143.29 KB)
53 Implement Logistic Regression part 2.mp4 (200.69 MB)
53 logistic.zip (143.29 KB)
54 Introduction to data and data dictionary.mp4 (31.23 MB)
54 Project 1.zip (2.26 MB)
55 Project 1.zip (2.26 MB)
55 Setup project and import libraries.mp4 (14.45 MB)
56 Import data to the project.mp4 (17.56 MB)
57 Clean NA values.mp4 (98.55 MB)
58 Clean your data.mp4 (116.32 MB)
59 Analysis 1 Where do the guest come from.mp4 (95.22 MB)
60 Analysis 2 How much do guests pay for room per night.mp4 (112.12 MB)
61 Analysis 3 How does the price vary.mp4 (134.34 MB)
62 Sorting.mp4 (97.88 MB)
63 Analysis 4 Which months are busy months.mp4 (108.13 MB)
64 Analysis 5 How long do people stay at the hotels.mp4 (132.19 MB)
65 Feature selection using coorelation.mp4 (127.24 MB)
66 Refine Numerical attributes.mp4 (68.25 MB)
67 Refine Categorical attributes.mp4 (99.03 MB)
68 Augment the data.mp4 (63.9 MB)
69 Mean Encoding for Categorical attributes.mp4 (206.78 MB)
70 Preparing our data.mp4 (102.73 MB)
71 Feature Importance.mp4 (137.27 MB)
72 Splitting data and Building models.mp4 (187.62 MB)
73 Loading the data to the project.mp4 (117.02 MB)
73 Project 2.zip (853.81 KB)
74 Introduction to Corpus and Term Document Matrix.mp4 (44.29 MB)
74 Project 2.zip (853.81 KB)
75 Storing data into the data frame.mp4 (78.19 MB)
76 Cleaning the data.mp4 (245.43 MB)
78 Analyzing most commonly spoken words.mp4 (141.95 MB)
79 Creating wordcloud.mp4 (207.3 MB)
80 Profanity.mp4 (81.5 MB)
81 Sentimental Analysis.mp4 (37.83 MB)
82 Sentiment Label.mp4 (69.29 MB)
83 Plotting Polarity and Subjectivity.mp4 (53.5 MB)
84 Topic Modeling.mp4 (128.13 MB)
85 Topic Modeling Part Of Speech Tagging.mp4 (104.4 MB)
86 Text Generation.mp4 (36.09 MB)
87 Text Generation Part 2.mp4 (86.13 MB)
88 Introduction to Neural Networks.mp4 (24.15 MB)
89 Neuron.mp4 (116.36 MB)
90 Learn to create MLP model.mp4 (156.53 MB)
91 Multi Layer Perception Algorithm part 2.mp4 (166.06 MB)
92 Multi Layer Perception Algorithm part 3.mp4 (61.44 MB)
93 Multi Layer Perception Algorithm part 4.mp4 (85.97 MB)
2 Install anaconda on your machine.mp4 (69.05 MB)
3 Set up environment and Download Machine Learning Libraries.mp4 (80.51 MB)
4 Introduction to Jupyter Notebook.mp4 (111.36 MB)
5 Data Science Methodologies.mp4 (51.21 MB)
6 CRISP DM model.mp4 (42.86 MB)
7 Phases of CRISP DM.mp4 (26.58 MB)
8 Phases of CRISP DM part 2.mp4 (17.45 MB)
9 Phases of CRISP DM part 3.mp4 (39.72 MB)
10 Why to clean the data.mp4 (20.02 MB)
11 Data Quality.mp4 (51.45 MB)
12 Check if data is valid or not.mp4 (51.91 MB)
13 Check if data is accurate or not.mp4 (10.82 MB)
14 Completeness of the data.mp4 (11.25 MB)
15 Consistency of the data.mp4 (13.46 MB)
16 Uniformity of the data.mp4 (25.23 MB)
17 How to ensure data quality.mp4 (26.6 MB)
18 Inspect the data.mp4 (11.22 MB)
19 Cleaning the data.mp4 (67.48 MB)
20 Goal of data munging.mp4 (77.49 MB)
21 Understand your data.mp4 (60.89 MB)
22 Introduction to Outliers.mp4 (45.1 MB)
23 Finalize Data Munging.mp4 (88.46 MB)
24 Handle data type mismatch.mp4 (242.79 MB)
25 Remove Duplicate data.mp4 (89.94 MB)
26 Handling missing data.mp4 (95.51 MB)
27 Feature Importance.mp4 (146.29 MB)
28 Plot feature importance plot.mp4 (60.61 MB)
29 Introduction to Feature Importance.mp4 (55.69 MB)
30 Data Normalization.mp4 (23.02 MB)
31 Data Standardization.mp4 (48.3 MB)
32 Normalization in practice.mp4 (125.17 MB)
33 Standardization in practice.mp4 (138.1 MB)
34 Introduction to One Hot Encoding.mp4 (55.78 MB)
35 One Hot Encoding in practice.mp4 (116.9 MB)
36 Types of data in Machine Learning.mp4 (31.59 MB)
37 Structured format for datasets.mp4 (69.64 MB)
38 Introduction to pandas library.mp4 (164.11 MB)
39 Train Test split Concept.mp4 (89.46 MB)
40 Decision Tree part 1.mp4 (140.12 MB)
41 Decision Tree part 2.mp4 (116.8 MB)
42 Code Decision Tree classifier.mp4 (235.47 MB)
43 Decision Tree GINI index.mp4 (95.2 MB)
44 Introduction to Linear Regression.mp4 (156.37 MB)
45 Learn about OLS [Ordinary Least Squares] algorithm.mp4 (246.81 MB)
46 Introduction to working of Linear Regression.mp4 (194.56 MB)
47 Lecture Introduction to MSE, MAE, RMSE.mp4 (56.96 MB)
48 Introduction to R squared.mp4 (49.43 MB)
49 Implement Simple Linear Regression.mp4 (168.93 MB)
49 linear regression guide.zip (86.69 KB)
