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UpcomingMachine Learning & Research

ML & Research Paper Publication

From Python Basics to Publishing Your First Research Paper

Duration

3 Months

Per Week

5.5 – 8 hrs / week

Modules

12 weeks

Instructor

Amitabh

About This Course

A comprehensive 3-month program covering Python fundamentals, Machine Learning concepts (intermediate level), and end-to-end research paper guidance — from ideation to publication in peer-reviewed journals.

Schedule

Wednesday

1.5 – 2 hrs

Saturday

2 – 3 hrs

Sunday

2 – 3 hrs

Curriculum

1Python Foundations
  • Python syntax, data types, and control flow
  • Functions, modules, and OOP basics
  • NumPy & Pandas fundamentals
  • Data visualization with Matplotlib & Seaborn
2Python for Data Science
  • Advanced Pandas: groupby, merge, pivot
  • Exploratory Data Analysis (EDA)
  • Feature engineering & preprocessing
  • Working with real-world datasets
3Machine Learning Fundamentals
  • Supervised learning: Regression & Classification
  • Linear/Logistic Regression, Decision Trees
  • Model evaluation: Accuracy, F1, ROC-AUC
  • Train/test splits and cross-validation
4Intermediate ML Models
  • Random Forest & Gradient Boosting (XGBoost)
  • Unsupervised learning: Clustering (K-Means)
  • Dimensionality reduction (PCA)
  • Hyperparameter tuning
5Deep Learning Intro
  • Neural networks from scratch
  • TensorFlow / Keras basics
  • CNNs for image classification
  • Overfitting and regularization
6Research Paper Writing — Part 1
  • What makes a publishable paper?
  • Identifying a research problem & gap
  • Literature review and citation tools
  • Research paper structure (IMRaD)
7Research Paper Writing — Part 2
  • Writing Abstract, Introduction, Methodology
  • Results, Discussion, Conclusion
  • Figures, tables, and formatting
  • Plagiarism checking (Turnitin, iThenticate)
8Choosing Journals & Submission
  • Identifying target journals (Scopus, IEEE, Springer)
  • Open-access vs paid publication
  • Submission process walkthrough
  • Responding to reviewer comments
9Individual Research Projects
  • Student project ideation & mentoring
  • Dataset collection and preparation
  • Model building and experimentation
  • Drafting your own paper (guided)
10Paper Refinement & Review
  • Peer review simulation within batch
  • Revising drafts based on feedback
  • Formatting as per journal guidelines
  • Final proofreading checklist
11Submission & Portfolio
  • Submitting papers to journals/conferences
  • Building a GitHub research portfolio
  • Writing a research CV / LinkedIn update
  • Preparing for reviewer round responses
12Capstone & Presentations
  • Final project presentations
  • Batch demo day
  • Career pathways in ML research
  • Certificate ceremony & next steps

What You'll Learn

  • Write and run Python scripts confidently
  • Build end-to-end ML models on real datasets
  • Write a publishable research paper
  • Get your paper submitted to a journal/conference
  • Build a professional research portfolio on GitHub

Instructor

A

Amitabh

Founder, Humans Care Foundation

AI Researcher & Developer with hands-on experience in machine learning, deep learning, and publishing research in healthcare and agriculture domains.

Prerequisites

  • Basic computer literacy
  • Curiosity and commitment to attend 3 days/week
  • No prior coding experience required

Pricing

New MemberHOLI SALE
Course (3 months)₹2700
Research (3 months)₹1800
Total
₹4400₹3200
Old MemberHOLI SALE
Course (3 months)₹2400
Research (3 months)₹1500
Total
₹3800₹2800