Pedram Jahangiry

Pedram Jahangiry, PhD, CFA Professional Practice Associate Professor of Finance, Huntsman School of Business, Utah State University — now teaching and researching at the intersection of finance, machine learning, deep learning, and advanced time-series forecasting. Before academia I was a research associate in BlackRock’s Financial Modeling Group (NYC). Here you’ll find complete, free lecture series on: • Econometrics • Machine Learning • Deep Learning • Deep Forecasting • Deep Quantitative Trading (TBA) Materials & code: github.com/PJalgotrader Community ethos: I share knowledge openly but never solicit private tutoring, paid mentorship, or direct outreach. Please use the comment section for questions so everyone can learn together. Cheers, Pedram

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Module 8 - python part 2- Mastering NeuralProphet in Python | Full Walkthrough + Prophet Benchmark

조회 1.5K 좋아요 39 1년 전

Module 8- Part 2- Time Series Forecasting with NeuralProphet: Full Theory + FB Prophet Comparison

조회 2.2K 좋아요 68 1년 전

Module 8 - Part 1.2: Advanced Facebook Prophet — Multivariate Forecasting (Kaggle: Rossmann Sales)

조회 913 좋아요 36 1년 전

Module 8- Python part 1.1: Facebook Prophet for business timeseries forecasting in python (basics)

조회 1.2K 좋아요 33 1년 전

Module 8- part 1- Deep Dive into Facebook Prophet: Paper Review – Helpful but Overhyped?

조회 1.1K 좋아요 40 1년 전

Module 7- part 4.2- Python: Multivariate timeseries with CNN, RNN, LSTM, GRU

조회 1.4K 좋아요 37 1년 전

Module 7- part 4.1- Python: Univariate timeseries forecasting with RNN and LSTM vs DNN

조회 679 좋아요 21 1년 전

Module 7- part 3- Deep Dive into Gated cells, LSTM for timeseries

조회 538 좋아요 18 1년 전

Module 7- part 2- Deep Dive into RNN for timeseries: from basics to limits

조회 1.2K 좋아요 40 1년 전

Module 7- part 1- Deep Sequence Modeling: DNN vs RNN -Unveiling Memory and Intuition in Time Series

조회 1.2만 좋아요 42 1년 전

Module 6- part 3- A simple Deep Neural Network for timeseries forecasting in Python with Tensorflow

조회 805 좋아요 29 1년 전

Module 6 part 2- Deep Learning regularization and going beyond NN for timeseries forecasting

조회 576 좋아요 14 1년 전

Module 6- part1- Neural Network basics for timeseries forecasting

조회 1.2K 좋아요 26 1년 전

Module 5- Part 4- Time Series Machine Learning in Python: PyCaret Replication with Scikit-Learn

조회 936 좋아요 31 1년 전

Module 5- Part 3- Timeseries challenges in ML (Non-stationarity, cross validation and bootstrapping)

조회 799 좋아요 25 1년 전

Module 5- part 2- Decision Tree based ML models for Time Series: A Visual Deep Dive with Python

조회 1.2K 좋아요 43 1년 전

Module 5- part 1- Machine Learning for timeseries forecasting (Data transformation and fundamentals)

조회 1.5K 좋아요 48 1년 전

Module 4- part 3- Tiemseries SARIMA model in Python (Pycaret)

조회 669 좋아요 14 1년 전

Module 4- part 2- SARIMA(X) models for timeseries forecasting

조회 744 좋아요 33 1년 전

Module 4- part 1- ARIMA models (pre-reqs: ACF, PACF, weak vs strong stationarity, differencing)

조회 946 좋아요 23 1년 전

Module 3- part 3- ETS timeseries models in Python (Pycaret)

조회 1.0K 좋아요 32 1년 전

Module 3- part 2- ETS (Error, Trend, Seasonality) timeseries models

조회 9.9K 좋아요 45 1년 전

Module 3- part 1- Exponential smoothing methods (SES, Holt-linear, Holt-Winter, Damped)

조회 1.1K 좋아요 29 1년 전

Module 3- part 0- Introduction to exponential smoothing methods vs ETS models

조회 859 좋아요 32 1년 전

Module 2 -Part 2- Setting up Deep Forecasting environment, basic Python timeseries

조회 1.1K 좋아요 35 2년 전

Module 2 -Part 1- Setting up Deep Forecasting environment, platforms and python packages

조회 750 좋아요 28 2년 전

Module 1- Part 4- Demystifying timeseries data and modeling (Can we beat WallStreet?)

조회 828 좋아요 45 2년 전

Module 1- Part 3: Demystifying timeseries data and modeling (classical vs ML vs DL modeling)

조회 1.4K 좋아요 55 2년 전

Module 1- Part 2- Demystifying timeseries data and modeling (forecasting strategies)

조회 1.3K 좋아요 45 2년 전

Where to Find Materials for All My Courses

조회 175 좋아요 11 2년 전