OR74 | BC57EA010400AA9031311361D7D6A3F901BCD47F

OR74

Name	OR74	DOWNLOAD Copy Link
Total Size	10.7 GB
Total Files	87
Hash	BC57EA010400AA9031311361D7D6A3F901BCD47F

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01 - Introduction.mp4	43.6 MB
02 - Getting What You Need.mp4	80.7 MB
03 - Installing Enthought Canopy.mp4	55.3 MB
04 - Python Basics – Part 1.mp4	162.7 MB
05 - Python Basics – Part 2.mp4	103.3 MB
06 - Running Python Scripts.mp4	81.8 MB
07 - Introducing the Pandas Library.mp4	100.9 MB
08 - Types of Data.mp4	134.0 MB
09 - Mean, Median, and Mode.mp4	107.6 MB
10 - Using Mean, Median, and Mode in Python.mp4	152.6 MB
11 - Variation and Standard Deviation.mp4	177.4 MB
12 - Probability Density Function and Probability Mass Function.mp4	46.6 MB
13 - Common Data Distributions.mp4	106.0 MB
14 - Percentiles and Moments.mp4	167.7 MB
15 - A Crash Course in matplotlib.mp4	182.3 MB
16 - Covariance and Correlation.mp4	193.8 MB
17 - [Exercise] Conditional Probability.mp4	101.9 MB
18 - Exercise Solution – Conditional Probability of Purchase by Age.mp4	53.0 MB
19 - Bayes' Theorem.mp4	117.4 MB
20 - Linear Regression.mp4	155.0 MB
21 - Polynomial Regression.mp4	116.1 MB
22 - [Activity] Multivariate Regression and Predicting Car Prices.mp4	102.5 MB
23 - Multi-Level Models.mp4	95.5 MB
24 - Supervised versus Unsupervised Learning and Train_Test.mp4	192.7 MB
25 - Using Train_Test to Prevent Overfitting of a Polynomial Regression.mp4	81.8 MB
26 - Bayesian Methods – Concepts.mp4	77.1 MB
27 - Implementing a Spam Classifier with Naive Bayes.mp4	142.3 MB
28 - K-Means Clustering.mp4	119.1 MB
29 - Clustering People Based on Income and Age.mp4	90.4 MB
30 - Measuring Entropy.mp4	66.1 MB
31 - Decision Trees – Concepts.mp4	153.6 MB
32 - Decision Trees – Predicting Hiring Decisions.mp4	144.1 MB
33 - Ensemble Learning.mp4	131.1 MB
34 - Support Vector Machines (SVM) Overview.mp4	83.5 MB
35 - Using SVM to Cluster People by using scikit-learn.mp4	76.8 MB
36 - User-Based Collaborative Filtering.mp4	146.7 MB
37 - Item-Based Collaborative Filtering.mp4	129.1 MB
38 - Finding Movie Similarities.mp4	186.6 MB
39 - Improving the Results of Movie Similarities.mp4	169.5 MB
40 - Making Movie Recommendations to People.mp4	240.7 MB
41 - Improve the Recommender's Results.mp4	174.3 MB
42 - K-Nearest Neighbors – Concepts.mp4	74.1 MB
43 - Using KNN to predict a rating for a movie.mp4	226.7 MB
44 - Dimensionality Reduction and Principal Component Analysis.mp4	137.5 MB
45 - A PCA Example with the Iris Dataset.mp4	202.4 MB
46 - Data Warehousing Overview – ETL and ELT.mp4	215.2 MB
47 - Reinforcement Learning.mp4	251.8 MB
48 - Bias_Variance Trade-off.mp4	122.2 MB
49 - K-Fold Cross-Validation to Avoid Overfitting.mp4	179.3 MB
50 - Data Cleaning and Normalization.mp4	130.2 MB
51 - Cleaning Web Log Data.mp4	230.0 MB
52 - Normalizing Numerical Data.mp4	76.4 MB
53 - Detecting Outliers.mp4	155.4 MB
54 - Installing Spark – Part 1.mp4	174.1 MB
55 - Installing Spark – Part 2.mp4	322.8 MB
56 - Spark Introduction.mp4	125.8 MB
57 - Spark and the Resilient Distributed Dataset (RDD).mp4	138.7 MB
58 - Introducing MLLib.mp4	98.6 MB
59 - Decision Trees in Spark.mp4	325.1 MB
60 - K-Means Clustering in Spark.mp4	230.6 MB
61 - TF_IDF.mp4	127.5 MB
62 - Searching Wikipedia with Spark.mp4	223.3 MB
63 - Using the Spark 2.0 DataFrame API for MLLib.mp4	43.1 MB
64 - A_B Testing Concepts.mp4	172.5 MB
65 - T-Tests and P-Values.mp4	117.9 MB
66 - Hands On with T-Tests.mp4	154.2 MB
67 - Determining How Long to Run an Experiment.mp4	63.4 MB
68 - A_B Test Gotchas.mp4	172.8 MB
69 - Deep Learning Pre-Requisites.mp4	50.0 MB
70 - The History of Artificial Neural Networks.mp4	51.0 MB
71 - [Activity] Deep Learning in the Tensorflow Playground.mp4	126.9 MB
72 - Deep Learning Details.mp4	38.5 MB
73 - Introducing Tensorflow.mp4	56.6 MB
74 - [Activity] Using Tensorflow, Part 1.mp4	72.3 MB
75 - [Activity] Using Tensorflow, Part 2.mp4	96.9 MB
76 - [Activity] Introducing Keras.mp4	70.8 MB
77 - [Activity] Using Keras to Predict Political Affiliations.mp4	66.9 MB
78 - Convolutional Neural Networks (CNN's).mp4	57.7 MB
79 - [Activity] Using CNN's for handwriting recognition.mp4	56.5 MB
80 - Recurrent Neural Networks (RNN's).mp4	41.0 MB
81 - [Activity] Using a RNN for sentiment analysis.mp4	69.0 MB
82 - The Ethics of Deep Learning.mp4	129.0 MB
83 - Learning More about Deep Learning.mp4	47.3 MB
84 - Your final project assignment.mp4	41.3 MB
85 - Final Project Review.mp4	56.2 MB
86 - More to Explore.mp4	49.1 MB
87 - Bonus Video - Discounts on my Spark and MapReduce courses!.mp4	18.4 MB
Total files 87