What is Machine Learning?

What is Machine Learning?

Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed. ML is one of the most exciting technologies that one has ever come across. As it is evident from the name, it gives the computer something that makes it more similar to humans: The ability to learn. Machine learning is actively being used today, perhaps in many more places than one would expect....

Python’s Role in Machine Learning

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Setting Up Python for Machine Learning

Python has a crucial role in machine learning because Python provides libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and Keras. These libraries offer tools and functions essential for data manipulation, analysis, and building machine learning models. It is well-known for its readability and offers platform independence. These all things make it the perfect language of choice for Machine Learning....

Introduction

Follow these steps:...

Data Processing

Getting Started with Machine Learning An Introduction to Machine Learning What is Machine Learning? Introduction to Data in Machine Learning ML – Applications Difference between Machine learning and Artificial Intelligence Best Python Libraries for Machine Learning...

Supervised learning

Understanding Data Processing Generate test datasets Create Test DataSets using Sklearn Data Preprocessing Data Cleansing Label Encoding of datasets One Hot Encoding of datasets Handling Imbalanced Data with SMOTE and Near Miss Algorithm in Python...

Unsupervised Learning

Types of Learning – Supervised Learning Getting started with Classification Types of Regression Techniques Classification vs Regression...

Projects using Machine Learning

Types of Learning – Unsupervised Learning Clustering in Machine Learning Different Types of Clustering Algorithm K means Clustering – Introduction Elbow Method for optimal value of k in KMeans K-means++ Algorithm Analysis of test data using K-Means Clustering in Python Mini Batch K-means clustering algorithm Mean-Shift Clustering DBSCAN – Density based clustering Implementing DBSCAN algorithm using Sklearn Fuzzy Clustering Spectral Clustering OPTICS Clustering OPTICS Clustering Implementing using Sklearn Hierarchical clustering (Agglomerative and Divisive clustering) Implementing Agglomerative Clustering using Sklearn Gaussian Mixture Model...

Applications of Machine Learning

Rainfall prediction using Linear regression Identifying handwritten digits using Logistic Regression in PyTorch Kaggle Breast Cancer Wisconsin Diagnosis using Logistic Regression Implement Face recognition using k-NN with scikit-learn Credit Card Fraud Detection Image compression using K-means clustering...

Applications of Machine Learning

How Does Google Use Machine Learning? How Does NASA Use Machine Learning? 5 Mind-Blowing Ways Facebook Uses Machine Learning Targeted Advertising using Machine Learning How Machine Learning Is Used by Famous Companies?...

FAQS on Machine Learning with Python

Machine Learning is the most rapidly evolving technology; we are in the era of AI and ML. It is used to solve many real-world problems which cannot be solved with the standard approach. Following are some applications of ML....