Machine learning is a field of artificial intelligence and computer sciences that includes topics like supervised Learning, Unsupervised Learning, and algorithms and software that can make predictions from data. In this article, we will discuss Machine Learning Process.
7 steps of Machine Learning Process
Let’s discuss the Machine Learning Process Framework.
Step 1: Define the goal of the Problem Statement
It is essential to understand the exact nature of what needs to be anticipated. It is important to make mental notes about the data that can solve the problem and the approach you should use to reach the solution.
Step 2: Data collection
This stage is where you should be asking questions like:
- What data are needed to solve the problem?
- Are the data available?
- What is the best way to get the data?
Step 3: Data preparation
The data you have collected is almost always not in the correct format. In addition, there will be many inconsistencies within the data set, such as duplicates, redundant variables, and missing values.
Step 4: Analyze exploratory data
This stage requires you to put on your detective glasses and dig deep into the data to uncover all the data mysteries. EDA, or Exploratory Data Analysis, is the brainstorming stage in Machine Learning.
Step 5: An ML model is being built
The ML model is built using all the data exploration insights and patterns. The Data Exploration stage starts by dividing the data set into training and testing data. The training data will be used for building and analyzing the model. The ML Algorithm is the basis of the logic for the model.
Step 6: Model Evaluation & Optimization
Now it’s time to test the model. This data set serves to test the model’s efficiency and predictability. After the accuracy has been calculated, you can make any improvements to the model. The model’s performance can be improved by cross-validation and parameter tuning.
Step 7: Predictions
After the model has been evaluated and improved, it can be used to make predictions. The output can be a categorical variable or a Continuous Quantity.
Highest-Paying Machine Learning Jobs in India
- Data scientist
- ML engineer
- Principal scientist
- Statistician
- Engineer in research
- Computer scientist
- Director of analytics
- Computer vision engineer
- Algorithm engineer
- Data engineer
Salary for a Machine Learning Engineer
The 2021 Indeed report – Best Jobs in America & India – Machine Learning Engineer is the top-paid job with an average $156,085. The most exciting thing is that the average salary for an ML Engineer has increased by 344% since 2015.
Learn more about a career in Machine Learning
ML is a booming field, and you can get a job if you have the right skills. AI Patasala’s Machine Learning Course in Hyderabad program allows you to explore other AI, data science, and programming courses that can help you get on the path to this exciting career.
