How a Machine Learning Course Helped Me Predict Mood Swings

See how a Certified Machine Learning Expert course helped me build a model that predicts my mood swings using real data, algorithms, and learned skills.

Artificial Intelligence (AI) isn't just about robots and sci-fi anymore. It’s a part of our everyday lives. From smart assistants to shopping recommendations, AI is behind many things we use daily. My curiosity about how it all works led me to explore machine learning, a major part of AI. I decided to take the Certified Machine Learning Expert (CMLE) course—and it transformed the way I look at data, decision-making, and even my own behavior.

One of my favorite projects during the course was surprisingly personal: I built a machine learning model to predict my own mood swings. Yes, really! Using my daily habits and health metrics, I could forecast how I'd feel on any given day. It was fun, eye-opening, and incredibly useful. I’ll share what I learned, how the course worked, and why AI Certifications like this are a great step for students and professionals.

What Is Machine Learning and Why It Matter

Machine learning is a part of Artificial Intelligence that teaches computers to learn from data. Unlike traditional programming, where rules are manually coded, machine learning lets systems figure things out from patterns.

You See It Every Day:

Netflix suggests shows you like
Smartwatches tracking your sleep
Chatbots answering customer service questions
Self-driving car sensors interpreting surroundings

Machine learning is the silent engine behind many technologies that make life smarter and faster.

What is a Machine Learning Certification?

A machine learning certification is proof that you understand ML fundamentals and know how to build models that solve real problems. It's more than a badge—it's a structured way to learn hands-on skills and show them to future employers.

Why It’s Worth It:

Learn from real-life case studies
Build projects and practice coding
Boost your resume and job chances
Get a head start in your AI career

What Is the Certified Machine Learning Expert (CMLE) Course?

The Certified Machine Learning Expert (DS2040) course is designed for beginners and early professionals who want to build real skills in AI. It covers:

Certified Machine Learning Expert

Supervised and unsupervised learning
Decision trees, Random Forest, SVM
Neural networks and deep learning
Measuring model performance
Model deployment with Flask

What sets it apart? You don't just learn—you build things that work.

My Favorite Project: Predicting Mood Swings

As part of the course, I chose a personal challenge: Can I use ML to predict how I'd feel tomorrow?

What I Tracked:

Feature	Type	Description
Sleep Hours	Number	Hours of sleep
Step Count	Number	How much I walked
Sugar Intake	Number	Grams of sugar consumed
Work Hours	Number	Time spent working
Mood Score	Target	Mood level on a scale of 0-10

Algorithms I Tried:

Linear Regression
Random Forest
Support Vector Machines (SVM)

Random Forest gave the best result with an 83% prediction accuracy. It helped me realize how much late nights and sugar affected my mood.

What I Learned from the Certification

1. Supervised vs Unsupervised Learning

Type	Used For	Examples
Supervised Learning	Predict based on labels	Spam detection, price models
Unsupervised	Discover hidden patterns	Customer segmentation

2. Model Evaluation Metrics

Metric	Meaning	Best For
Accuracy	How often predictions are correct	Classification
RMSE	Error range from actual values	Regression
F1-Score	Balances false positives and negatives	Imbalanced data sets

3. Cleaning and Engineering Data

I learned how to:

Fix missing or inconsistent data
Normalize input values
Create useful features like "late-night sugar"

Clean data = better results. That was one of the most important lessons.

Top Machine Learning Certifications in 2025

Here are some of the best options to grow your machine learning skills this year:

Certification	Best For	Topics Covered
Certified Machine Learning Expert	Students & beginners	Core ML, projects, hands-on practice
Certified AI Professional	Intermediate professionals	NLP, deep learning, model deployment
Certified NLP Professional	Language-focused learners	Chatbots, text analysis, large language models
Certified Data Science Professional	Data analysts & engineers	Full ML pipeline, business insights

Tip: Start with general ML, then specialize in areas like NLP or Computer Vision.

Certification Details

Prerequisites: Moderate Python skills and basic math (probability, algebra, calculus)
Exam Format: 8-hour open-book project (no MCQs)
Grading: Based on EDA, model performance, and your final insights
- Grades: A+, A, B+, B, C+, C (all passing)
Delivery: Results in 9–15 working days
Validity: 3 years, renewable with CPD credits
Digital Certificate: Verifiable on the IABAC website

Who Should Enroll?

ML Engineers & Data Scientists wanting official recognition
Developers & Analysts moving into machine learning
Researchers & Statisticians seeking hands-on deployment skills
IT Professionals looking to boost their career with a global credential

What Jobs Can You Apply for After Certification?

Once you're certified, you can explore jobs across industries:

Role	Description	Key Skills
Machine Learning Engineer	Build and optimize ML models	Python, APIs, algorithms
Data Scientist	Analyze data for insights and strategy	Statistics, ML, SQL
AI Research Assistant	Support research and experimentation	Python, math, modeling
NLP Engineer	Build language-based tools	Text processing, NLP tools
BI Analyst	Use data to drive business decisions	Reporting, dashboards, ML

You can work full-time, freelance, or contribute to open-source or research teams.

What’s Next in Machine Learning?

Machine learning is growing fast. Here are trends to watch:

Explainable AI: Understand why models make decisions
Federated Learning: Training across devices without sharing data
No-code ML Tools: Build models with simple tools
Multimodal AI: Models that use voice, text, and images
Ethical AI: Creating fair, safe, and transparent systems

Learning ML Helped Me Understand Myself

Getting certified as a Machine Learning Expert taught me more than just algorithms. It taught me how to think like a problem-solver, work with real data, and even better understand my own daily life.

My mood prediction model was a fun start. What comes next could be building tools for mental health, education, or business. If you're even a little curious about machine learning—start now. There are so many tools and supportive communities out there. The Certified Machine Learning Expert course is a great place to begin.

How to Get Started