


Time Series Analysis, Forecasting, and Machine Learning (VIP PROMOTION)
==The Complete Time Series Analysis Course Has Arrived==
https://www.udemy.com/course/timeseriesanalysis/?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
 HoltWinters 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 stateoftheart lowcode forecasting API)
 GARCH (financial volatility modeling)
 FB Prophet (Facebook’s time series library)
Financial Engineering and Artificial Intelligence in Python
VIP Promotion
https://www.udemy.com/course/aifinance/?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 indepth into all the classic topics, such as:
 Exploratory data analysis, significance testing, correlations, alpha and beta
 Time series analysis, simple moving average, exponentiallyweighted moving average
 HoltWinters 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
 Meanvariance 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 nontraditional techniques which stem purely from the field of machine learning and artificial intelligence, such as:
 Regression models
 Classification models
 Unsupervised learning
 Reinforcement learning and Qlearning
List of VIP content:
 Classic Algorithmic Trading – Trend Following Strategy
 Machine LearningBased Trading Strategy
 Reinforcement LearningBased (QLearning) Trading Strategy
 Statistical Factor Models
 Regime Detection and Volatility Clustering with HMMs and Sequence Modeling
PyTorch: Deep Learning and Artificial Intelligence
VIP Promotion
https://www.udemy.com/course/pytorchdeeplearning/?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/artificialintelligencereinforcementlearninginpython
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 exploreexploit dilemma and the Bayesian bandit method
 MDPs (Markov Decision Processes)
 Dynamic Programming solution for MDPs
 Monte Carlo Method
 Temporal Difference Method (including QLearning)
 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/deeplearningtensorflow2
BLACK FRIDAY DISCOUNTED Courses

