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Time Series Analysis, Forecasting, and Machine Learning (VIP PROMOTION)
==The Complete Time Series Analysis Course Has Arrived==
https://www.udemy.com/course/time-series-analysis/?couponCode=TIMEVIP6
(note: this VIP coupon expires in 30 days!)
We will cover techniques such as:
- ETS and Exponential Smoothing
- Holt’s Linear Trend Model
- Holt-Winters Model
- ARIMA, SARIMA, SARIMAX, and Auto ARIMA
- ACF and PACF
- Vector Autoregression and Moving Average Models (VAR, VMA, VARMA)
- Machine Learning Models (including Logistic Regression, Support Vector Machines, and Random Forests)
- Deep Learning Models (Artificial Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks)
- GRUs and LSTMs for Time Series Forecasting
We will cover applications such as:
- Time series forecasting of sales data
- Time series forecasting of stock prices and stock returns
- Time series classification of smartphone data to predict user behavior
The VIP version (obtained by purchasing the course NOW during the VIP period) of the course covers even more exciting topics, such as:
- AWS Forecast (Amazon’s state-of-the-art low-code forecasting API)
- GARCH (financial volatility modeling)
- FB Prophet (Facebook’s time series library)
Financial Engineering and Artificial Intelligence in Python
VIP Promotion
==The complete Financial Engineering course has arrived==
https://www.udemy.com/course/ai-finance/?couponCode=FINANCEVIP15
This is a MASSIVE (20 hours) Financial Engineering course covering the core fundamentals of financial engineering and financial analysis from scratch. We will go in-depth into all the classic topics, such as:
- Exploratory data analysis, significance testing, correlations, alpha and beta
- Time series analysis, simple moving average, exponentially-weighted moving average
- Holt-Winters exponential smoothing model
- ARIMA and SARIMA
- Efficient Market Hypothesis
- Random Walk Hypothesis
- Time series forecasting (“stock price prediction”)
- Modern portfolio theory
- Efficient frontier / Markowitz bullet
- Mean-variance optimization
- Maximizing the Sharpe ratio
- Convex optimization with Linear Programming and Quadratic Programming
- Capital Asset Pricing Model (CAPM)
- Algorithmic trading
In addition, we will look at various non-traditional techniques which stem purely from the field of machine learning and artificial intelligence, such as:
- Regression models
- Classification models
- Unsupervised learning
- Reinforcement learning and Q-learning
List of VIP content:
- Classic Algorithmic Trading – Trend Following Strategy
- Machine Learning-Based Trading Strategy
- Reinforcement Learning-Based (Q-Learning) Trading Strategy
- Statistical Factor Models
- Regime Detection and Volatility Clustering with HMMs and Sequence Modeling
PyTorch: Deep Learning and Artificial Intelligence
VIP Promotion
=====The complete PyTorch course has arrived=====
https://www.udemy.com/course/pytorch-deep-learning/?couponCode=PYTORCHVIP20
This is a MASSIVE (over 22 hours) Deep Learning course covering EVERYTHING from scratch. That includes:
- Machine learning basics (linear neurons)
- ANNs, CNNs, and RNNs for images and sequence data
- Time series forecasting and stock predictions (+ why all those fake data scientists are doing it wrong)
- NLP (natural language processing)
- Recommender systems
- Transfer learning for computer vision
- GANs (generative adversarial networks)
- Deep reinforcement learning and applying it by building a stock trading bot
- VIP only: Making predictions with your trained NLP model
- VIP only: Making predictions with your trained Recommender model
- VIP only: Modeling prediction uncertainty and heteroskedasticity (i.e. stock returns!)
- VIP only: Facial recognition with Siamese Networks
Artificial Intelligence: Reinforcement Learning in Python
VIP Promotion
===The complete Reinforcement Learning course has arrived===
https://deeplearningcourses.com/c/artificial-intelligence-reinforcement-learning-in-python
Reinforcement Learning is the most general form of AI we know of so far – some speculate it is the way forward to mimic animal intelligence and attain “AGI” (artificial general intelligence).
This course covers:
- The explore-exploit dilemma and the Bayesian bandit method
- MDPs (Markov Decision Processes)
- Dynamic Programming solution for MDPs
- Monte Carlo Method
- Temporal Difference Method (including Q-Learning)
- Approximation Methods using RBF Neural Networks
- Applying your code to OpenAI Gym with zero effort / code changes
- Building a stock trading bot (different approach in each course!)
Tensorflow 2: Deep Learning and Artificial Intelligence VIP
Exclusive to deeplearningcourses.com only
===The complete Tensorflow 2 course has arrived===
Get it here: https://deeplearningcourses.com/c/deep-learning-tensorflow-2
BLACK FRIDAY DISCOUNTED Courses
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