Torrent Contents Size: 8.25 GB
Python & Machine Learning for Financial Analysis
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01 - Course Introduction, Success Tips and Key Learning Outcomes
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02 - PART #1 PYTHON PROGRAMMING FUNDAMENTALS
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03 - Python 101 Variables Assignment, Math Operation, Precedence and PrintGet
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04 - Python 101 Data Types
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05 - Python 101 Comparison Operators, Logical Operators, and Conditional Statements
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06 - Python 101 Loops
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07 - Python 101 Functions
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08 - Python 101 Files Operations
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09 - Python 101 Data Science Python Libraries for Data Analysis (Numpy)
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10 - Python 101 Data Science Python Libraries for Data Analysis (Pandas)
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11 - Python 101 Data Visualization with Matplotlib
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12 - Python 101 Data Visualization with Seaborn
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13 - PART #2 PYTHON FOR FINANCIAL ANALYSIS
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14 - Stocks Data Analysis and Visualization in Python
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15 - Asset Allocation and Statistical Data Analysis
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16 - Capital Asset Pricing Model (CAPM)
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17 - PART #3 MACHINE AND DEEP LEARNING IN FINANCE
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18 - Predict Stocks Future Prices Using Machine and Deep Learning
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19 - Perform Bank Market Segmentation Using Unsupervised Machine Learning Techniques
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20 - Perform Sentiment Analysis On Stocks Data Using Natural Language Processing
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