Our Machine Learning course at 7iTech Solutions is designed to give you practical, real-world experience in data science and predictive modeling. Using Python and popular libraries, you'll learn how to build, train, evaluate, and deploy ML models from scratch.
At 7itech Solutions, we have a team of highly experienced and skilled instructors who are passionate about sharing their knowledge and expertise in Machine Learning. We understand that every learner is unique, which is why we offer individualized training programs tailored to your specific needs and goals. At 7itech Solutions, we believe in learning by doing. Our training programs are designed by industry experts who have hands-on experience in developing cutting-edge solutions using Machine Learning.
At 7iTech Solutions, we offer industry-relevant certification courses designed to equip learners with the technical skills and credentials needed for today’s job market. Each course includes hands-on projects, expert mentorship, and a recognized certificate upon completion.
✔️ What is Machine Learning?
✔️ AI vs ML vs Deep Learning.
✔️ Applications of ML in real life.
✔️ Types of ML: Supervised, Unsupervised, Reinforcement Learning.
✔️ Python basics & data types.
✔️ Control structures, loops, functions.
✔️ Libraries: NumPy, Pandas, Matplotlib, Seaborn.
✔️ Importing datasets
✔️ Handling missing data
✔️ Encoding categorical data
✔️ Feature scaling
✔️ Data visualization techniques
✔️ Linear Regression
✔️ Logistic Regression.
✔️ K-Nearest Neighbors (KNN).
✔️ Decision Trees and Random Forest.
✔️ Support Vector Machines (SVM).
✔️ Model Evaluation (Confusion Matrix, Accuracy, Precision, Recall).
✔️ K-Means Clustering.
✔️ Hierarchical Clustering.
✔️ Principal Component Analysis (PCA).
✔️ Association Rule Learning (Apriori, Eclat).
✔️ Cross-validation.
✔️ Grid Search & Hyperparameter Tuning.
✔️ Bias-Variance Tradeoff.
✔️ Text Preprocessing
✔️ Bag of Words & TF-IDF
✔️ Sentiment Analysis
✔️ Spam Detection
✔️ Time series Concepts
✔️ ARIMA Model
✔️ LSTM (basic introduction)
✔️ Artificial Neural Networks (ANN)
✔️ Activation functions
✔️ Training neural networks with Keras/TensorFlow
✔️ House Price Prediction
✔️ Customer Churn Prediction
✔️ Movie Recommendation System
✔️ Stock Price Prediction
✔️ Email Spam Classifier
✔️ Saving & loading models (Pickle/Joblib)
✔️ Building ML APIs with Flask
✔️ Hosting on platforms (Heroku, Streamlit)
