Artificial Intelligence,Exploratory Data Analysis

Machine Learning in Oil & Gas

Level: Basic Grades: Finished College

Artificial Intelligence,Exploratory Data Analysis

30 Hours of LIVE instruction

Weekend and Weekdays

1:1 1:5

40500.00 45000.00

10% off

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Course Overview 5/5

Machine Learning in Oil & Gas is an introductory course aimed at equipping students with quintessential skills that will help build powerful solutions using data science language and enabling them to cultivate the right approach for solving industry problems.

Topics Covered

What is Machine Learning

Creating a Machine Learning Model

Feature Engineering

Working with well logs in Python

Course Curriculam

Module 1: Introduction to Optimization 1 hrs.

Module 2: Feature Pre-processing and Generation 2 hrs.

Module 3: Exploratory Data Analysis 2 hrs.

Module 4: Advanced Feature Engineering 1 2 hrs.

Module 5: Hyperparameter Optimization 2 hrs.

Module 6: Advanced Feature Engineering 2 4 hrs.

Module 7: Model Ensembling 4 hrs.

Module 8: Model Stacking 4 hrs.

Module 9: Model Blending 4 hrs.

Module 10: Expectation-Maximization algorithm 4 hrs.

Module 11: Reinforcement Learning 1 hrs.

Pick a batch

1st Apr - 15th May
Mon, Tue, Wed, Thu, Fri
07:00 - 08:00PM

Session 1:1st Jan	Thursday	07:00 - 08:00PM
Session 2:1st Jan	Thursday	07:00 - 08:00PM

1st Apr - 31st Jul
Sat, Sun
12:00 - 01:00PM

Session 1:1st Jan	Thursday	12:00 - 01:00PM
Session 2:1st Jan	Thursday	12:00 - 01:00PM

Python Tensorflow Numpy and Pandas Feature Engineering Supervised Learning

Projects you will build

Data Driven Sonic Well Log Model

Machine-learning techniques to predict DTC and DTS logs to improve subsurface characterization.

Artificial Intelligence

Data Driven Sonic Well Log Model

Supervised Learning, Classification

Learn Effectively with our Industry Focused Approach

Petrocoder runs most specialised courses in oil & energy sector developed by industry specialists after several decades of experience.