This Course will design to understand Data Science using Machine Learning Algorithms with big data concept. Big data Analysis covered with machine learning algorithms. This Course divide in three part. Part 1 focus on Data Science with all important concept, Part 2 focus on Machine Learning with all necessary algorithms, Part 3 focus on Big Data with basic fundamental. The Machine Learning Algorithms such as Linear Regression, Logistic Regression, SVM, K Mean, KNN, Naïve Bayes, Decision Tree and Random Forest are covered with case studies. The course provides path to start career in Data Science, Machine Learning and big data . Machine Learning Types such as Supervise Learning, Unsupervised Learning, Reinforcement Learning are also covered. Machine Learning concept such as Train Test Split, Machine Learning Models, Model Evaluation are also covered.

Machine Learning- Machine learning is the field of study that focuses on computer systems that can learn from data. That is the system's often called models can learn to perform a specific task by analyzing lots of examples for a particular problem. For example, a machine learning model can learn to recognize an image of a dog by being shown lots and lots of images of dogs.

What is Data Science- Data science is an inter-disciplinary field of Computer Science that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data.

Big Data- it is a collection of data that is huge in volume, yet growing exponentially with time. It is a data with so large size and complexity that none of traditional data management tools can store it or process it efficiently. Big data is also a data but with huge size.