Python Machine Learning for Financial Analysis | 57BC8725C3EF52EE4BA33E75A824006908DD3DEA

Python Machine Learning for Financial Analysis

Name	Python & Machine Learning for Financial Analysis	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	8.9 GB
Total Files	387
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Hash	57BC8725C3EF52EE4BA33E75A824006908DD3DEA

/.../18 - Predict Stocks Future Prices Using Machine and Deep Learning/
013 Task 12.mp4	237.5 MB

TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/.../20 - Perform Sentiment Analysis On Stocks Data Using Natural Language Processing/
28075442-stock-sentiment.csv	477.9 KB
008 Task 7_en.vtt	27.6 KB
004 Task 3_en.vtt	19.7 KB
006 Task 5_en.vtt	18.0 KB
007 Task 6_en.vtt	17.6 KB
008 Task 7.mp4	170.6 MB
005 Task 4_en.vtt	15.8 KB
011 Task 10_en.vtt	13.2 KB
010 Task 9_en.vtt	13.0 KB
002 Task 1_en.vtt	12.6 KB
003 Task 2_en.vtt	12.6 KB
009 Task 8_en.vtt	9.5 KB
external-assets-links.txt	0.2 KB
001 Colab Notebooks - Perform Sentiment Analysis on Stocks Data.html	0.1 KB
006 Task 5.mp4	153.0 MB
007 Task 6.mp4	124.9 MB
005 Task 4.mp4	89.5 MB
004 Task 3.mp4	80.2 MB
011 Task 10.mp4	77.8 MB
003 Task 2.mp4	72.0 MB
010 Task 9.mp4	71.8 MB
002 Task 1.mp4	71.2 MB
009 Task 8.mp4	51.8 MB
/.../14 - Stocks Data Analysis and Visualization in Python/
003 Task 2_en.vtt	25.1 KB
28075560-stock.csv	249.7 KB
003 Task 2.mp4	171.5 MB
004 Task 3_en.vtt	19.6 KB
009 Task 8_en.vtt	15.4 KB
007 Task 6_en.vtt	14.8 KB
005 Task 4_en.vtt	14.0 KB
external-assets-links.txt	0.2 KB
001 Colab Notebooks - Stocks Data Analysis and Visualization in Python.html	0.1 KB
008 Task 7_en.vtt	9.5 KB
006 Task 5_en.vtt	9.4 KB
002 Task 1_en.vtt	8.4 KB
004 Task 3.mp4	123.5 MB
007 Task 6.mp4	79.6 MB
009 Task 8.mp4	78.5 MB
005 Task 4.mp4	73.5 MB
002 Task 1.mp4	46.6 MB
008 Task 7.mp4	45.5 MB
006 Task 5.mp4	29.3 MB
/.../08 - Python 101 Files Operations/
28075934-sample-text-file.txt	0.1 KB
28075926-S-P500-Stock-Data.csv	36.7 KB
001 Colab Notebooks - Files Operations.html	0.0 KB
28075920-fruits-input.txt	1.2 KB
002 Reading & Writing Text Files_en.vtt	25.4 KB
003 Reading & Writing CSV Files_en.vtt	16.4 KB
28075928-sample-csv-file.csv	0.2 KB
external-assets-links.txt	0.2 KB
002 Reading & Writing Text Files.mp4	118.3 MB
003 Reading & Writing CSV Files.mp4	71.9 MB
/.../09 - Python 101 Data Science Python Libraries for Data Analysis (Numpy)/
001 Colab Notebooks - Numpy.html	0.0 KB
006 Slicing & indexing_en.vtt	20.9 KB
004 Shape Length Type_en.vtt	15.9 KB
external-assets-links.txt	0.2 KB
003 Built-in methods_en.vtt	13.2 KB
007 Elements Selection_en.vtt	10.7 KB
002 Numpy basics_en.vtt	10.5 KB
005 Math operations_en.vtt	7.4 KB
004 Shape Length Type.mp4	70.0 MB
003 Built-in methods.mp4	62.9 MB
006 Slicing & indexing.mp4	50.5 MB
002 Numpy basics.mp4	45.9 MB
005 Math operations.mp4	38.8 MB
007 Elements Selection.mp4	25.8 MB
/.../15 - Asset Allocation and Statistical Data Analysis/
005 Task 4.mp4	205.8 MB
28075632-stock.csv	249.7 KB
005 Task 4_en.vtt	27.5 KB
002 Task 1_en.vtt	20.4 KB
007 Task 6_en.vtt	19.6 KB
009 Task 8_en.vtt	16.2 KB
external-assets-links.txt	0.2 KB
006 Task 5_en.vtt	13.0 KB
004 Task 3_en.vtt	12.5 KB
003 Task 2_en.vtt	12.5 KB
008 Task 7_en.vtt	11.2 KB
001 Colab Notebooks - Asset Allocation and Statistical Data Analysis.html	0.1 KB
002 Task 1.mp4	149.4 MB
009 Task 8.mp4	123.9 MB
007 Task 6.mp4	120.5 MB
004 Task 3.mp4	91.6 MB
003 Task 2.mp4	80.2 MB
006 Task 5.mp4	71.5 MB
008 Task 7.mp4	58.3 MB
/.../11 - Python 101 Data Visualization with Matplotlib/
28076362-stocks.csv	249.7 KB
28076366-daily-returns.csv	126.9 KB
002 Line Plot_en.vtt	16.6 KB
external-assets-links.txt	0.2 KB
001 Colab Notebooks - Data Visualization with Matplotlib.html	0.1 KB
005 Histograms_en.vtt	11.9 KB
004 Pie Chart_en.vtt	11.7 KB
009 BoxPlot_en.vtt	11.5 KB
007 Subplots_en.vtt	10.5 KB
008 3D Plots_en.vtt	9.6 KB
003 Scatterplot_en.vtt	8.1 KB
006 Multiple Plots_en.vtt	6.0 KB
002 Line Plot.mp4	84.3 MB
009 BoxPlot.mp4	52.6 MB
004 Pie Chart.mp4	30.1 MB
005 Histograms.mp4	29.5 MB
007 Subplots.mp4	27.9 MB
008 3D Plots.mp4	27.7 MB
003 Scatterplot.mp4	20.9 MB
006 Multiple Plots.mp4	16.9 MB
/.../05 - Python 101 Comparison Operators, Logical Operators, and Conditional Statements/
002 Comparison operators_en.vtt	13.3 KB
001 Colab Notebooks - Comparison Operators, Logical Operators and If Statements.html	0.1 KB
004 Conditional statements - Part #1_en.vtt	21.3 KB
external-assets-links.txt	0.2 KB
005 Conditional statements - Part #2_en.vtt	17.3 KB
003 Logical operators_en.vtt	14.0 KB
004 Conditional statements - Part #1.mp4	62.1 MB
003 Logical operators.mp4	50.3 MB
005 Conditional statements - Part #2.mp4	41.2 MB
002 Comparison operators.mp4	35.3 MB
/.../01 - Course Introduction, Success Tips and Key Learning Outcomes/
006 Python for Data Science Learning Path.html	1.4 KB
007 Study Tips For Success.html	1.0 KB
003 Course Outline and Key Learning Outcomes_en.vtt	22.5 KB
002 Introduction, Success Tips & Best Practices and Key Learning Outcomes_en.vtt	16.6 KB
004 Environment Setup & Course Materials Download_en.vtt	11.0 KB
005 Google Colab Walkthrough_en.vtt	10.2 KB
001 Welcome Message_en.vtt	6.2 KB
002 Introduction, Success Tips & Best Practices and Key Learning Outcomes.mp4	144.0 MB
003 Course Outline and Key Learning Outcomes.mp4	139.9 MB
001 Welcome Message.mp4	119.4 MB
005 Google Colab Walkthrough.mp4	46.4 MB
004 Environment Setup & Course Materials Download.mp4	30.6 MB
28076794-Python-for-Financial-Analysis-Course-Package.zip	29.7 MB
/.../19 - Perform Bank Market Segmentation Using Unsupervised Machine Learning Techniques/
28075310-4.Marketing-data.csv	902.9 KB
004 Visualize data_en.vtt	24.9 KB
005 Understand K-means algorithm_en.vtt	19.5 KB
003 Import libraries and datasets_en.vtt	19.2 KB
011 Apply autoencoder_en.vtt	16.8 KB
010 Train autoencoder_en.vtt	15.7 KB
002 Problem statement and business case_en.vtt	13.5 KB
007 Apply K-means clustering_en.vtt	12.0 KB
008 Principal component analysis_en.vtt	11.1 KB
009 Intuition of autoencoders_en.vtt	9.8 KB
006 Obtain optimal K_en.vtt	9.7 KB
external-assets-links.txt	0.2 KB
001 Colab Notebooks - Perform Bank Customers Segmentation.html	0.1 KB
004 Visualize data.mp4	131.5 MB
003 Import libraries and datasets.mp4	125.6 MB
005 Understand K-means algorithm.mp4	109.1 MB
011 Apply autoencoder.mp4	98.9 MB
007 Apply K-means clustering.mp4	86.7 MB
010 Train autoencoder.mp4	84.5 MB
008 Principal component analysis.mp4	70.2 MB
002 Problem statement and business case.mp4	63.1 MB
006 Obtain optimal K.mp4	60.3 MB
009 Intuition of autoencoders.mp4	54.1 MB
/.../02 - PART #1 PYTHON PROGRAMMING FUNDAMENTALS/
001 Introduction to Part #1 Python Programming Fundamentals_en.vtt	1.6 KB
001 Introduction to Part #1 Python Programming Fundamentals.mp4	31.9 MB
/.../03 - Python 101 Variables Assignment, Math Operation, Precedence and PrintGet/
001 Colab Notebooks - Variables Assignment, Math Ops, Precedence, and PrintGet.html	0.1 KB
005 Print operation_en.vtt	14.4 KB
external-assets-links.txt	0.2 KB
006 Get User Input_en.vtt	22.5 KB
002 Variable assignment_en.vtt	18.1 KB
003 Math operations_en.vtt	17.2 KB
004 Precedence_en.vtt	14.9 KB
006 Get User Input.mp4	139.3 MB
002 Variable assignment.mp4	106.8 MB
003 Math operations.mp4	80.1 MB
005 Print operation.mp4	48.0 MB
004 Precedence.mp4	38.1 MB
/.../16 - Capital Asset Pricing Model (CAPM)/
28075658-stock.csv	249.7 KB
002 Task 1_en.vtt	21.7 KB
005 Task 4_en.vtt	17.0 KB
007 Task 6_en.vtt	14.8 KB
external-assets-links.txt	0.2 KB
008 Task 7_en.vtt	13.1 KB
006 Task 5_en.vtt	10.9 KB
003 Task 2_en.vtt	8.5 KB
004 Task 3_en.vtt	7.9 KB
001 Colab Notebooks - Capital Asset Pricing Model (CAPM).html	0.1 KB
002 Task 1.mp4	156.0 MB
005 Task 4.mp4	124.3 MB
007 Task 6.mp4	96.4 MB
008 Task 7.mp4	72.1 MB
006 Task 5.mp4	68.0 MB
003 Task 2.mp4	56.3 MB
004 Task 3.mp4	39.9 MB
/.../18 - Predict Stocks Future Prices Using Machine and Deep Learning/
28075238-stock-volume.csv	191.5 KB
28075236-stock.csv	249.7 KB
013 Task 12_en.vtt	34.7 KB
005 Task 4_en.vtt	27.4 KB
003 Task 2_en.vtt	22.2 KB
010 Task 9_en.vtt	21.9 KB
011 Task 10_en.vtt	19.9 KB
008 Task 7_en.vtt	18.2 KB
007 Task 6_en.vtt	17.9 KB
009 Task 8_en.vtt	17.2 KB
001 Colab Notebooks - Predict Future Stock Prices Using MachineDeep Learning.html	0.1 KB
012 Task 11_en.vtt	16.9 KB
002 Task 1_en.vtt	15.6 KB
006 Task 5_en.vtt	14.3 KB
004 Task 3_en.vtt	11.1 KB
external-assets-links.txt	0.2 KB
003 Task 2.mp4	136.7 MB
011 Task 10.mp4	133.3 MB
005 Task 4.mp4	129.5 MB
002 Task 1.mp4	121.0 MB
012 Task 11.mp4	113.4 MB
010 Task 9.mp4	108.6 MB
008 Task 7.mp4	100.4 MB
007 Task 6.mp4	92.5 MB
009 Task 8.mp4	86.8 MB
006 Task 5.mp4	77.6 MB
004 Task 3.mp4	60.0 MB
/.../12 - Python 101 Data Visualization with Seaborn/
002 Data Visualization with Seaborn - Part #1_en.vtt	28.3 KB
003 Data Visualization with Seaborn - Part #2_en.vtt	17.5 KB
external-assets-links.txt	0.2 KB
002 Data Visualization with Seaborn - Part #1.mp4	166.8 MB
001 Colab Notebooks - Data Visualization with Seaborn.html	0.1 KB
003 Data Visualization with Seaborn - Part #2.mp4	135.0 MB
/.../17 - PART #3 MACHINE AND DEEP LEARNING IN FINANCE/
001 Introduction to Part #3 Machine and Deep Learning in Finance_en.vtt	1.3 KB
001 Introduction to Part #3 Machine and Deep Learning in Finance.mp4	6.6 MB
/.../13 - PART #2 PYTHON FOR FINANCIAL ANALYSIS/
001 Introduction to Part #2 Python for Financial Analysis_en.vtt	1.1 KB
001 Introduction to Part #2 Python for Financial Analysis.mp4	10.9 MB
/.../04 - Python 101 Data Types/
external-assets-links.txt	0.2 KB
001 Colab Notebooks - Data Types.html	0.0 KB
003 List_en.vtt	26.7 KB
005 Strings_en.vtt	18.7 KB
007 Sets_en.vtt	7.5 KB
004 Dictionaries_en.vtt	13.0 KB
002 Booleans_en.vtt	10.6 KB
006 Tuples_en.vtt	9.7 KB
003 List.mp4	66.0 MB
005 Strings.mp4	60.8 MB
006 Tuples.mp4	41.7 MB
004 Dictionaries.mp4	40.8 MB
007 Sets.mp4	33.0 MB
002 Booleans.mp4	28.8 MB
/.../10 - Python 101 Data Science Python Libraries for Data Analysis (Pandas)/
007 Mergingjoiningconcatenation_en.vtt	26.0 KB
002 Pandas Introduction to Pandas and DataFrames_en.vtt	25.6 KB
001 Colab Notebooks - Pandas.html	0.0 KB
003 Reading HTML data, and applying functions, and sorting_en.vtt	15.8 KB
external-assets-links.txt	0.2 KB
28076080-bank-client-information.csv	0.2 KB
005 Pandas with functions_en.vtt	11.1 KB
004 DataFrame operations_en.vtt	9.8 KB
006 Ordering and Sorting_en.vtt	6.6 KB
002 Pandas Introduction to Pandas and DataFrames.mp4	132.2 MB
007 Mergingjoiningconcatenation.mp4	128.3 MB
003 Reading HTML data, and applying functions, and sorting.mp4	77.1 MB
004 DataFrame operations.mp4	42.9 MB
005 Pandas with functions.mp4	36.2 MB
006 Ordering and Sorting.mp4	22.2 MB
/.../06 - Python 101 Loops/
007 List comprehension_en.vtt	22.2 KB
001 Colab Notebooks - ForWhile Loops, Range, List Comprehension.html	0.1 KB
002 For loops_en.vtt	18.3 KB
004 While Loops_en.vtt	17.6 KB
external-assets-links.txt	0.2 KB
006 Nested loops_en.vtt	15.8 KB
003 Range_en.vtt	14.2 KB
005 Break a loop_en.vtt	14.1 KB
002 For loops.mp4	75.5 MB
004 While Loops.mp4	64.6 MB
007 List comprehension.mp4	46.7 MB
003 Range.mp4	40.4 MB
005 Break a loop.mp4	39.5 MB
006 Nested loops.mp4	36.1 MB
/.../07 - Python 101 Functions/
003 Custom functions_en.vtt	18.1 KB
001 Colab Notebooks - Functions.html	0.0 KB
external-assets-links.txt	0.2 KB
005 Map_en.vtt	12.6 KB
006 Filter_en.vtt	11.9 KB
002 Functions built-in functions_en.vtt	10.1 KB
004 Lambda expression_en.vtt	9.4 KB
005 Map.mp4	54.3 MB
003 Custom functions.mp4	51.7 MB
006 Filter.mp4	37.9 MB
004 Lambda expression.mp4	30.1 MB
002 Functions built-in functions.mp4	27.7 MB
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Total files 387