Machine Learning in Construction. Predicting the Time and Cost of Projects . 📚 9 Lessons
Applying Machine Learning and Artificial intelligence to Construction. Price and Time Forecasting
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Description
In this course, we will step by step, using the example of real data, we will go through the main processes related to the topic “Big data and machine learning”.
🎓 In thisfifth part:
✔️ We will examine in detail the basic types, terms and algorithms of machine learning. We go through the basic concepts of machine learning that beginners need. We will consider in more detail such algorithms as K-means supervised Machine Learning, Linear Regression and other algorithms for Machine Learning.
✔️ In practical lessons we will predict the time and cost of construction for the new project X, based on the data that we collected on previous projects. And in another lesson we will predict the cost of building project X and construction time by the parameters that we will set for the new project x
✔️ Then we take open source data for the San Francisco city. We will clear this raw data and display the data in the form of a charts and maps. We will collect various interesting insights from this public information. Then we will prepare the data to create a machine learning model and try to predict some parameters from this data.
📚 You will be guided through the basics of using:
Machine Learning Algorithms
Jupyter Notebooks for Data Science
K-means Machine Learning algorithm
Machine Learning Modeling Cycle
Linear Regression
Build a Predictive Model
🔎 Topics covered in this course:
📝 Lecture 2. What is machine learning? Key ML Terminology.
What is machine learning?
Key ML Terminology
Supervised Machine Learning
Unsupervised Machine Learning
Reinforcement Learning
📝 Lecture 3. Practice. Predict the price of houses. Dataset 1. Beginner’s Guide to Jupyter
Jupyter Notebooks for Data Science
Introduction to Kaggle for Beginners in Machine Learning
Supervised learning: predicting an output
Predict the price of a house
📝 Lecture 4. How does machine learning work? Prediction of construction time and cost.
Prediction of time and cost for small training dataset
K-means supervised Machine Learning algorithm
Understanding K-means Clustering in Machine Learning
Overview of Machine Learning Algorithms
📝 Lecture 5. Practice. Prediction of price and time. Data upload and preparation (Part 1/2)
Getting started with Machine Learning in MS Excel
A Kaggle Walkthrough – Cleaning Data
Beginner’s Guide to Jupyter Notebooks
Train, Validation Sets in Machine Learning
Splitting data into Training & Validation
📝 Lecture 6. Practice. Prediction of price and time. Evaluation Metrics (Part 2/2)
Determined the cost and time of construction work for project X
Evaluation Metrics for Machine Learning Model
Linear Regression for Machine Learning
How our algorithm works visually
Creating and Visualizing Decision Trees
📝 Lecture 7. Workflow of a Machine Learning project. Stages of the Machine Learning Modeling
Stages of the Machine Learning Modeling Cycle
Learning Phase of Machine Learning
Inference from Model
Machine Learning Deployment Pipeline
📝 Lecture 8. Practice. Data loading and preparation to Analyzing (Part 1/2).
Build a Predictive Model
Training and Validation Sets: Splitting Data
Determining the “estimated cost” by parameters
Predict the “estimated cost” for arbitrary parameters
Evaluation Metrics for Machine Learning Model
Linear regression Predictive Models
📝 Lecture 9. Practice. Cost Prediction. Way to build a Predictive Model (Part 2/2).
Find Open Datasets
Loading large Datasets into Kaggle
Data visualization and analysis in Kaggle
Average postcode price on a San Francisco map
Total cost of all building permits for the postal code
Average “estimated cost” by type of housing
What Will I Learn?
What is machine learning?
Key ML Terminology
Supervised Machine Learning
Unsupervised Machine Learning
Reinforcement Learning
Jupyter Notebooks for Data Science
Introduction to Kaggle for Beginners in Machine Learning
Supervised learning: predicting an output
Predict the price of a house
Prediction of time and cost for small training dataset
K-means supervised Machine Learning algorithm
Understanding K-means Clustering in Machine Learning
Overview of Machine Learning Algorithms
Getting started with Machine Learning in MS Excel
A Kaggle Walkthrough – Cleaning Data
Beginner's Guide to Jupyter Notebooks
Train, Validation Sets in Machine Learning
Splitting data into Training & Validation
Determined the cost and time of construction work for project X
Evaluation Metrics for Machine Learning Model
Linear Regression for Machine Learning
How our algorithm works visually
Creating and Visualizing Decision Trees
Stages of the Machine Learning Modeling Cycle
Learning Phase of Machine Learning
Inference from Model
Machine Learning Deployment Pipeline
Find Open Datasets
Loading large Datasets into Kaggle
Data visualization and analysis in Kaggle
Average postcode price on a San Francisco map
Total cost of all building permits for the postal code
Average "estimated cost" by type of housing
Build a Predictive Model
Training and Validation Sets: Splitting Data
Determining the "estimated cost" by parameters
Predict the "estimated cost" for arbitrary parameters
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