Gobeshona Learning Academy Facebook ad: “Become an ML Expert in 30 Days”

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Marketing & Agencies

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৩০ দিনের এই মাস্টারক্লাস প্রোগ্রামে আপনি কি কি শিখবেন? | প্রোজেক্ট বেইজড লার্নিং --- FREE E- Certificate will be Provided--- ৩০ দিনের ইনটার্নশিপ শেষে আপনি নিজেই একদম বেসিক লেভেল থেকে মেশিন লার্নিং শিখে প্রোজেক্ট তৈরি করতে পারবেন। ✅Day 1: Introduction, Course Outline, Object detection and speech recognition ✅Day 2: Python Core Foundations: Variables & Data Types, Logical Operations, and String Processing. ✅Day 3: Python Data Structures for Machine Learning: Lists, Tuples, and Dictionaries — Access, Manipulation, Iteration, and Data Organization. ✅Day 4: Python Control Flow & Decision Logic for Machine Learning: Conditional Statements, Pattern Matching, and Looping Constructs ✅Day 5: Advanced Python Function Design for Machine Learning: Functional Programming, Recursion, and Code Abstraction ✅Day 6: Python Oop Fundamentals: Classes, Objects, Attributes, And Methods.) ✅Day 7: NumPy (arrays, indexing, operations) ✅Day 8: Pandas (DataFrames, CSV/Excel import/export, filtering, grouping) ✅Day 9: Data Cleaning (handling missing values, duplicates, outliers) ✅Day 10: Data Visualization (Matplotlib, Seaborn – plots, histograms, heatmaps) ✅Day 11: Exploratory Data Analysis (EDA) on a dataset (Kaggle Titanic dataset) ✅Day 12: ML basics (supervised vs unsupervised, train/test split, accuracy) ✅Day 13: Sale Prediction using LOGISTIC REGRESSION ✅Day 14: Salary estimation using K-NEAREST NEIGHBOUR ✅Day 15: Titanic Survival prediction using NAIVE BAYES ✅Day 16: Plant leaf Iris detection using DECISION TREE ✅Day 17: Digit recognition using RANDOM FOREST ✅Day 18: Handwritten Digit Recognition using SUPPORT VECTOR MACHINE ✅Day 19: Evaluating Classification model Performance ✅Day 20: House price prediction using Linear Regression Single Variable ✅Day 21: Exam mark prediction using LINEAR REGRESSION - MULTIPLE VALUES ✅Day 22: Car Price Prediction using REGRESSION Model ✅Day 23: Evaluating Regression Model Using R-Squared & Adjusted R-Squared ✅Day 24: Income & Spent Analysis using K-Means & Hierarchical Clustering ✅Day 25: Market Basket Analysis using APIRIORI ✅Day 26: Web Ad Optimization using Upper Confidence Bound - Reinforcement Learning ✅Day 27: Image Processing with OpenCV (Load, Resize, Crop, Rotate & Draw Shapes.) & Object Detection using yolo ✅Day 28: Deep learning algorithm & Designing Neural Network & Image classification using CNN ✅Day 29: Speech Recognition using DL ✅Day 30: REAL & Fake news detection using LLM

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Become an ML Expert in 30 Days

Certificate for all participants