Udemy - Complete Python and Machine Learning in Financial Analysis (3.2025)

File Name

Size

1 - Financial Data and Preprocessing/1 -Introduction of Python Programming in Financial Analysis.mp4

69 MB

1 - Financial Data and Preprocessing/1 -Introduction of Python Programming in Financial Analysis.vtt

8.7 kB

1 - Financial Data and Preprocessing/10 -Investigating stylized facts of asset returns.mp4

158 MB

1 - Financial Data and Preprocessing/10 -Investigating stylized facts of asset returns.vtt

12 kB

1 - Financial Data and Preprocessing/11 - Codes of Chapter 1.html

38 B

1 - Financial Data and Preprocessing/11 -Chapter 1.zip

6.2 MB

1 - Financial Data and Preprocessing/2 -Introduction of Financial Analysis.mp4

32 MB

1 - Financial Data and Preprocessing/2 -Introduction of Financial Analysis.vtt

3.6 kB

1 - Financial Data and Preprocessing/3 -Introduction.mp4

15 MB

1 - Financial Data and Preprocessing/3 -Introduction.vtt

2.2 kB

1 - Financial Data and Preprocessing/4 -Getting data from Yahoo Finance.mp4

28 MB

1 - Financial Data and Preprocessing/4 -Getting data from Yahoo Finance.vtt

3.4 kB

1 - Financial Data and Preprocessing/5 -Getting data from Quandl.mp4

27 MB

1 - Financial Data and Preprocessing/5 -Getting data from Quandl.vtt

1.9 kB

1 - Financial Data and Preprocessing/6 -Converting prices to returns.mp4

56 MB

1 - Financial Data and Preprocessing/6 -Converting prices to returns.vtt

5.7 kB

1 - Financial Data and Preprocessing/7 -Changing frequency.mp4

40 MB

1 - Financial Data and Preprocessing/7 -Changing frequency.vtt

2.7 kB

1 - Financial Data and Preprocessing/8 -Visualizing time series data.mp4

74 MB

1 - Financial Data and Preprocessing/8 -Visualizing time series data.vtt

5.1 kB

1 - Financial Data and Preprocessing/9 -Identifying outliers.mp4

55 MB

1 - Financial Data and Preprocessing/9 -Identifying outliers.vtt

3.9 kB

10 - Deep Learning in Finance/1 -Introduction.mp4

71 MB

10 - Deep Learning in Finance/1 -Introduction.vtt

5.8 kB

10 - Deep Learning in Finance/2 - requirements of chapter 10.html

42 B

10 - Deep Learning in Finance/2 -Deep learning for tabular data.mp4

165 MB

10 - Deep Learning in Finance/2 -Deep learning for tabular data.vtt

14 kB

10 - Deep Learning in Finance/2 -requirements_of_chapter_10.zip

7.0 MB

10 - Deep Learning in Finance/3 -Multilayer perceptrons for time series forecasting.mp4

272 MB

10 - Deep Learning in Finance/3 -Multilayer perceptrons for time series forecasting.vtt

21 kB

10 - Deep Learning in Finance/4 -Convolutional neural networks for time series forecasting.mp4

248 MB

10 - Deep Learning in Finance/4 -Convolutional neural networks for time series forecasting.vtt

15 kB

10 - Deep Learning in Finance/5 -Recurrent neural networks for time series forecasting.mp4

191 MB

10 - Deep Learning in Finance/5 -Recurrent neural networks for time series forecasting.vtt

13 kB

10 - Deep Learning in Finance/6 - Codes of Chapter 10.html

39 B

10 - Deep Learning in Finance/6 - The End.html

48 B

10 - Deep Learning in Finance/6 -Chapter_10.zip

3.1 MB

2 - Technical Analysis in Python/1 -Introduction.mp4

14 MB

2 - Technical Analysis in Python/1 -Introduction.vtt

2.6 kB

2 - Technical Analysis in Python/2 - requirements of chapter 2.html

41 B

2 - Technical Analysis in Python/2 -Creating a candlestick chart.mp4

26 MB

2 - Technical Analysis in Python/2 -Creating a candlestick chart.vtt

2.4 kB

2 - Technical Analysis in Python/2 -requirements_of_chapter_2.zip

505 kB

2 - Technical Analysis in Python/3 -Backtesting a strategy based on simple moving average.mp4

164 MB

2 - Technical Analysis in Python/3 -Backtesting a strategy based on simple moving average.vtt

10 kB

2 - Technical Analysis in Python/4 -Calculating Bollinger Bands and testing a buysell strategy.mp4

154 MB

2 - Technical Analysis in Python/4 -Calculating Bollinger Bands and testing a buysell strategy.vtt

5.6 kB

2 - Technical Analysis in Python/5 -Calculating the relative strength index and testing a longshort strategy.mp4

74 MB

2 - Technical Analysis in Python/5 -Calculating the relative strength index and testing a longshort strategy.vtt

5.2 kB

2 - Technical Analysis in Python/6 -Building an interactive dashboard for TA.mp4

151 MB

2 - Technical Analysis in Python/6 -Building an interactive dashboard for TA.vtt

5.2 kB

2 - Technical Analysis in Python/7 - Codes of Chapter 2.html

38 B

2 - Technical Analysis in Python/7 -Chapter_2.zip

8.4 MB

3 - Time Series Modeling/1 -Introduction.mp4

6.2 MB

3 - Time Series Modeling/1 -Introduction.vtt

1.2 kB

3 - Time Series Modeling/2 - requirements of chapter 3.html

41 B

3 - Time Series Modeling/2 -Decomposing time series.mp4

56 MB

3 - Time Series Modeling/2 -Decomposing time series.vtt

5.1 kB

3 - Time Series Modeling/2 -requirements_of_chapter_3.zip

3.6 kB

3 - Time Series Modeling/3 -Testing for stationarity in time series.mp4

92 MB

3 - Time Series Modeling/3 -Testing for stationarity in time series.vtt

4.1 kB

3 - Time Series Modeling/4 -Correcting for stationarity in time series.mp4

100 MB

3 - Time Series Modeling/4 -Correcting for stationarity in time series.vtt

5.4 kB

3 - Time Series Modeling/5 -Modeling time series with exponential smoothing methods.mp4

107 MB

3 - Time Series Modeling/5 -Modeling time series with exponential smoothing methods.vtt

8.1 kB

3 - Time Series Modeling/6 -Modeling time series with ARIMA class models.mp4

174 MB

3 - Time Series Modeling/6 -Modeling time series with ARIMA class models.vtt

12 kB

3 - Time Series Modeling/7 -Forecasting using ARIMA class models.mp4

54 MB

3 - Time Series Modeling/7 -Forecasting using ARIMA class models.vtt

3.1 kB

3 - Time Series Modeling/8 - Codes of Chapter 3.html

38 B

3 - Time Series Modeling/8 -Chapter_3.zip

8.3 MB

4 - Multi-Factor Models/1 -Introduction.mp4

6.6 MB

4 - Multi-Factor Models/1 -Introduction.vtt

1.5 kB

4 - Multi-Factor Models/2 - requirements of chapter 4.html

41 B

4 - Multi-Factor Models/2 -Implementing the CAPM in Python.mp4

56 MB

4 - Multi-Factor Models/2 -Implementing the CAPM in Python.vtt

4.4 kB

4 - Multi-Factor Models/2 -requirements_of_chapter_4.zip

53 kB

4 - Multi-Factor Models/3 -Implementing the Fama-French three-factor model in Python.mp4

84 MB

4 - Multi-Factor Models/3 -Implementing the Fama-French three-factor model in Python.vtt

5.3 kB

4 - Multi-Factor Models/4 -Implementing the rolling three-factor model on a portfolio of assets.mp4

94 MB

4 - Multi-Factor Models/4 -Implementing the rolling three-factor model on a portfolio of assets.vtt

4.3 kB

4 - Multi-Factor Models/5 -Implementing the four- and five-factor models in Python.mp4

107 MB

4 - Multi-Factor Models/5 -Implementing the four- and five-factor models in Python.vtt

5.6 kB

4 - Multi-Factor Models/6 - Codes of Chapter 4.html

38 B

4 - Multi-Factor Models/6 -Chapter_4.zip

1.6 MB

5 - Modeling Volatility with GARCH Class Models/1 -Introduction.mp4

26 MB

5 - Modeling Volatility with GARCH Class Models/1 -Introduction.vtt

3.5 kB

5 - Modeling Volatility with GARCH Class Models/2 - requirements of chapter 5.html

41 B

5 - Modeling Volatility with GARCH Class Models/2 -Explaining stock returns' volatility with ARCH models.mp4

68 MB

5 - Modeling Volatility with GARCH Class Models/2 -Explaining stock returns' volatility with ARCH models.vtt

4.6 kB

5 - Modeling Volatility with GARCH Class Models/2 -requirements_of_chapter_5.zip

58 kB

5 - Modeling Volatility with GARCH Class Models/3 -Explaining stock returns' volatility with GARCH models.mp4

30 MB

5 - Modeling Volatility with GARCH Class Models/3 -Explaining stock returns' volatility with GARCH models.vtt

3.9 kB

5 - Modeling Volatility with GARCH Class Models/4 -Implementing a CCC-GARCH model for multivariate volatility forecasting.mp4

96 MB

5 - Modeling Volatility with GARCH Class Models/4 -Implementing a CCC-GARCH model for multivariate volatility forecasting.vtt

4.4 kB

5 - Modeling Volatility with GARCH Class Models/5 -Forecasting a conditional covariance matrix using DCC-GARCH.mp4

72 MB

5 - Modeling Volatility with GARCH Class Models/5 -Forecasting a conditional covariance matrix using DCC-GARCH.vtt

6.6 kB

5 - Modeling Volatility with GARCH Class Models/6 - Codes of Chapter 5.html

38 B

5 - Modeling Volatility with GARCH Class Models/6 -Chapter_5.zip

2.7 MB

6 - Monte Carlo Simulations in Finance/1 -Introduction.mp4

26 MB

6 - Monte Carlo Simulations in Finance/1 -Introduction.vtt

3.0 kB

6 - Monte Carlo Simulations in Finance/2 - requirements of chapter 6.html

41 B

6 - Monte Carlo Simulations in Finance/2 -requirements_of_chapter_6.zip

4.9 kB

6 - Monte Carlo Simulations in Finance/2 -Simulating stock price dynamics using Geometric Brownian Motion.mp4

197 MB

6 - Monte Carlo Simulations in Finance/2 -Simulating stock price dynamics using Geometric Brownian Motion.vtt

9.5 kB

6 - Monte Carlo Simulations in Finance/3 -Pricing European options using simulations.mp4

66 MB

6 - Monte Carlo Simulations in Finance/3 -Pricing European options using simulations.vtt

4.8 kB

6 - Monte Carlo Simulations in Finance/4 -Pricing American options with Least Squares Monte Carlo.mp4

90 MB

6 - Monte Carlo Simulations in Finance/4 -Pricing American options with Least Squares Monte Carlo.vtt

7.7 kB

6 - Monte Carlo Simulations in Finance/5 -Pricing American options using Quantlib.mp4

80 MB

6 - Monte Carlo Simulations in Finance/5 -Pricing American options using Quantlib.vtt

5.8 kB

6 - Monte Carlo Simulations in Finance/6 -Estimating value-at-risk using Monte Carlo.mp4

82 MB

6 - Monte Carlo Simulations in Finance/6 -Estimating value-at-risk using Monte Carlo.vtt

6.5 kB

6 - Monte Carlo Simulations in Finance/7 - Codes of Chapter 6.html

38 B

6 - Monte Carlo Simulations in Finance/7 -Chapter_6.zip

4.8 MB

7 - Asset Allocation in Python/1 -Introduction.mp4

41 MB

7 - Asset Allocation in Python/1 -Introduction.vtt

4.1 kB

7 - Asset Allocation in Python/2 -Evaluating the performance of a basic 1n portfolio.mp4

66 MB

7 - Asset Allocation in Python/2 -Evaluating the performance of a basic 1n portfolio.vtt

5.1 kB

7 - Asset Allocation in Python/3 -Finding the Efficient Frontier using Monte Carlo simulations.mp4

100 MB

7 - Asset Allocation in Python/3 -Finding the Efficient Frontier using Monte Carlo simulations.vtt

6.6 kB

7 - Asset Allocation in Python/4 -Finding the Efficient Frontier using optimization with scipy.mp4

106 MB

7 - Asset Allocation in Python/4 -Finding the Efficient Frontier using optimization with scipy.vtt

8.9 kB

7 - Asset Allocation in Python/5 - Codes of Chapter 7.html

38 B

7 - Asset Allocation in Python/5 -Chapter_7.zip

12 MB

8 - Identifying Credit Default with Machine Learning/1 -Introduction.mp4

34 MB

8 - Identifying Credit Default with Machine Learning/1 -Introduction.vtt

3.7 kB

8 - Identifying Credit Default with Machine Learning/10 - Codes of Chapter 8.html

38 B

8 - Identifying Credit Default with Machine Learning/10 -Chapter_8.zip

11 MB

8 - Identifying Credit Default with Machine Learning/2 - requirements of chapter 8.html

41 B

8 - Identifying Credit Default with Machine Learning/2 -Loading data and managing data types.mp4

80 MB

8 - Identifying Credit Default with Machine Learning/2 -Loading data and managing data types.vtt

7.6 kB

8 - Identifying Credit Default with Machine Learning/2 -requirements_of_chapter_8.zip

4.8 MB

8 - Identifying Credit Default with Machine Learning/3 -Exploratory data analysis.mp4

162 MB

8 - Identifying Credit Default with Machine Learning/3 -Exploratory data analysis.vtt

12 kB

8 - Identifying Credit Default with Machine Learning/4 -Splitting data into training and test sets.mp4

35 MB

8 - Identifying Credit Default with Machine Learning/4 -Splitting data into training and test sets.vtt

4.6 kB

8 - Identifying Credit Default with Machine Learning/5 -Dealing with missing values.mp4

110 MB

8 - Identifying Credit Default with Machine Learning/5 -Dealing with missing values.vtt

6.4 kB

8 - Identifying Credit Default with Machine Learning/6 -Encoding categorical variables.mp4

67 MB

8 - Identifying Credit Default with Machine Learning/6 -Encoding categorical variables.vtt

7.9 kB

8 - Identifying Credit Default with Machine Learning/7 -Fitting a decision tree classifier.mp4

110 MB

8 - Identifying Credit Default with Machine Learning/7 -Fitting a decision tree classifier.vtt

10 kB

8 - Identifying Credit Default with Machine Learning/8 -Implementing scikit-learn's pipelines.mp4

83 MB

8 - Identifying Credit Default with Machine Learning/8 -Implementing scikit-learn's pipelines.vtt

6.0 kB

8 - Identifying Credit Default with Machine Learning/9 -Tuning hyperparameters using grid search and cross-validation.mp4

122 MB

8 - Identifying Credit Default with Machine Learning/9 -Tuning hyperparameters using grid search and cross-validation.vtt

12 kB

9 - Advanced Machine Learning Models in Finance/1 -Introduction.mp4

36 MB

9 - Advanced Machine Learning Models in Finance/1 -Introduction.vtt

3.1 kB

9 - Advanced Machine Learning Models in Finance/2 - requirements of chapter 9.html

41 B

9 - Advanced Machine Learning Models in Finance/2 -Investigating advanced classifiers.mp4

117 MB

9 - Advanced Machine Learning Models in Finance/2 -Investigating advanced classifiers.vtt

4.4 kB

9 - Advanced Machine Learning Models in Finance/2 -requirements_of_chapter_9.zip

4.9 MB

9 - Advanced Machine Learning Models in Finance/3 -Theres more about use advanced classifiers to achieve better results.mp4

226 MB

9 - Advanced Machine Learning Models in Finance/3 -Theres more about use advanced classifiers to achieve better results.vtt

811 B

9 - Advanced Machine Learning Models in Finance/4 -Using stacking for improved performance.mp4

80 MB

9 - Advanced Machine Learning Models in Finance/4 -Using stacking for improved performance.vtt

5.2 kB

9 - Advanced Machine Learning Models in Finance/5 -Investigating the feature importance.mp4

197 MB

9 - Advanced Machine Learning Models in Finance/5 -Investigating the feature importance.vtt

9.9 kB

9 - Advanced Machine Learning Models in Finance/6 -Investigating different approaches to handling imbalanced data.mp4

106 MB

9 - Advanced Machine Learning Models in Finance/6 -Investigating different approaches to handling imbalanced data.vtt

8.1 kB

9 - Advanced Machine Learning Models in Finance/7 -Bayesian hyperparameter optimization.mp4

264 MB

9 - Advanced Machine Learning Models in Finance/7 -Bayesian hyperparameter optimization.vtt

15 kB

9 - Advanced Machine Learning Models in Finance/8 - Codes of Chapter 9.html

38 B

9 - Advanced Machine Learning Models in Finance/8 -Chapter_9.zip

13 MB