Diogo Resende – Time Series Forecasting with Python

Diogo Resende - Time Series Forecasting with Python

Overview

This project-based course will put you in the role of a Business Data Analyst at Airbnb tasked with predicting demand for Airbnb property bookings in New York. To accomplish this goal, you’ll use the Python programming language to build a powerful tool that utilizes the magic of time series forecasting.

How to utilize the power of time series forecasting to predict the future
How to use the four most relevant forecasting models used by Business Data Analysts today
Practice the day-to-day skills needed for Business Data Analysis
Build an impressive project to add to your portfolio to help you get hired
Enhance your proficiency with Python, one of the most popular programming languages

Syllabus

Introduction
- Course Introduction
- Exercise: Meet Your Classmates and Instructor
- Course Material
- Why Forecasting Matters
- Understanding Your Video Player (notes, video speed, subtitles + more)
- Set Your Learning Streak Goal
Exploratory Data Analysis
- Game Plan
- TIme Series Data
- Case Study Briefing
- Python – Directory and Libraries
- Python – Loading the Data
- Python – Renaming Variable
- Python – Summary Statistics
- Additive vs. Multiplicative Seasonality
- Python – Seasonal Decomposition
- Python – Seasonal Graphs
- Python – Visualization – Basic Plot
- Python – Visualization – Customization
- Python – Visualization -Adding Events
- Python – Correlation
- Auto-Correlation Plots
- Python – Auto-Correlation Plot
- Python – Useful Commands Template
- Let’s Have Some Fun (+ Free Resources)
(Facebook) Prophet
- Game Plan for Prophet
- Prophet and Structural Time Series
- Python – Preparing the Script
- Python – Prepare Date Variable
- Python – Easter Holiday
- Python – Remaining Holidays
- Python – Wrapping up the Events
- Prophet Parameters
- Python – Prophet Model
- Cross-Validation
- Python – Cross-Validation
- Assessing Forecasting
- Python – Cross-Validation Performance and Plotting
- Parameter Tuning
- Python – Parameter Grid
- Python – Parameter Tuning
- Python – Best Parameters and Exporting
- Python – Updating Useful Commands (Part 1)
- Python – Preparing Data Sets
- Python – Parameters and Final Model
- Python – Forecasting
- Python – Exporting Forecasts
- Python – Updating Useful Commands (Part 2)
- Pros and Cons
- Unlimited Updates
SARIMAX
- SARIMAX Game Plan
- ARIMA
- Python – Preparing Script
- Auto-Regressive
- Integrated
- Python – Stationarity and Differencing
- Moving Average Component
- Optimization Factors
- Python – SARIMAX Model
- Python – Cross-Validation
- Python – Parameter Grid
- Python – Parameter Tuning
- Python – Exporting Best Parameters
- Python – Preparing the Script
- Python – Preparing Data
- Python – Tuned SARIMAX Model
- Python – Forecasting
- Python – Visualization and Export
- SARIMAX Pros and Cons
- Course Check-In
How LinkedIn Silverkite Works
- LinkedIn Silverkite Game Plan
- LinkedIn Silverkite
- Silverkite vs. Prophet
- Python – Libraries and Data
- Python – Preparing Data
- Python – Metadata
- Silverkite Components
- Growth Terms
- Python – Growth Terms
- Seasonality Terms
- Python – Seasonality
- Python – Available Countries and Holidays
- Python – Holidays
- Python – Changepoints
- Python – Regressors
- Lagged Regressors
- Python – Lagged Regressors
- Python – Autoregression
- Fitting Algorithms Possibilities
- Ridge Regression
- XGBoost
- Boosting
- Feature Sampling
- Python – Custom Fit Algorithm
- Python – Silverkite Model
- Python – Cross-Validation Configuration
- Python – SIlverkite Parameter Tuning
- Python – Visualization and Preparing Results
- Python – Exporting Best Parameters
- Python – Preparing Script
- Python – Tuned Silverkite Model
- Python – Summary and Visualization
- Python – Forecasting and Exporting
- Pros and Cons
- Implement a New Life System
Recurrent Neural Networks (RNN) Long Short-Term Memory (LSTM)
- Game Plan for LSTM
- Simple Neural Network
- Recurrent Neural Networks (RNN)
- Long Short-Term Memory (LSTM)
- Python – Directory and Libraries
- Python – Time Series Objects
- Python – Time Variables
- Python – Scaling
- LSTM Parameters
- Activation Functions
- Python – LSTM Model
- Python – Cross-Validation
- Python – Cross-Validation Performance
- Python – Parameter Grid
- Python – Parameter Tuning (Round 1)
- Python – Parameter Tuning (Round 2)
- Python – Changing from CPU to GPU
- Python – Parameter Tuning (Final Results)
- Python – Preparing Script
- Python – Tuned LSTM Model
- Python – Predictions and Exporting
- Pros and Cons
Ensemble
- Ensemble Game Plan
- Ensemble Mechanism
- Python – Preparing Script and Loading Predictions
- Python – Loading Errors
- Python – Forecasting Weights
- Python – Ensemble Forecast and Visualization
- Ensemble Pros and Cons
Where To Go From Here?
- Thank You!
- Review This Course!
- Become An Alumni
- Learning Guideline
- ZTM Events Every Month
- LinkedIn Endorsements

Taught by

Diogo Resende

There are no reviews yet.

Add a Review

You must be <a href="https://wislibrary.net/my-account/">logged in</a> to post a review.

افلام يابانية كاملة dvd sex pornarabic.net فيديو اغتصاب سكس

virgin porn mms coffetube.info english sexvidio

a girl naked tubepatrol.xxx xvedio in hindi

بنات شرموطة porntur.com نيك فنادق

نساء بدينات جميلات tantaporno.com موقع سكس لبنانى

kashmir xxx sex hindisextube.net indianswx

لحس الكس المصري cmsextra.net سكس مترجم اون لاين

سكس مايا sexarabporn.net سكس خليجي منقبات

aunty and boy xnxx big-porn-house.com meera chopra nude

سيكسس arabianmotion.com طيز مصرية

brazzars hd.com indianpornxclips.com thelugu sex chat

hindi video sixe ganstababes.com porn sites in india

اخ واختة سكس fransizporno.com نيك.

大塚隣の奥様 javstreaming.name 桃乃木かな動画

الزب aniarabic.com انتصار سكس