Bootcamps (5 Courses)
Career Oriented
Course Category Career Oriented
Course Category 
Countries worldwide
Expert Trainers
Professionals Trained
Overall Rating
This course covers Introduction to Data Science, Data Mining and Machine Learning, Their Applications, Future Scope, Data Science Process Flow, Statistics, Predictive Analytics, Classification, Clustering, Regression, Exploratory Data Analysis, Machine Learning Algorithms such as Linear Regression, Logistic Regression, KNN, Naive Bayes, Decision Trees, Random Forest, and Evaluation Metrics. Text mining, text analytics, and an introduction to natural language processing are also covered. POS Tagger, NER Tagger, and TF-IDF are some of its uses. All principles are implemented practically in Python. Resolving end-to-end data science issues and business use cases.
Get Practical Hands-on Python with Machine Learning
Learn Business Use cases
Discussion on Features for different problems
Hands-on TF-IDF implementation
Implementation of Text Mining in Python
To fast-track your career and achieve
Name of Exam – AgileFever Data Science and Machine Learning with Python Examination
Exam details are as follows:
Anyone can register to this course.
The Data Science and Machine Learning course from Agilefever was fantastic! The trainers were very knowledgeable and provided detailed explanations with real-world examples. The course covered everything from Python basics to advanced machine-learning techniques. The certification has added great value to my resume, and I’m already using these skills at work.
I had an amazing experience with Agilefever’s Data Science and Machine Learning with Python training! The course was well-structured, and the instructors simply explained complex concepts. The hands-on projects were a game-changer, helping me apply what I learned in real-world scenarios. After completing the certification, I feel much more confident in my data science skills. Highly recommend it!
It’s like learning to be a data detective using Python, where you discover hidden patterns in information and teach computers to make smart guesses. You learn to work with numbers, make charts, and solve real-world problems using computer programs.
40 hours.
According to the reviews and ratings, we can suggest AgileFever’s training program.
Data science is like being a number detective – you look at lots of information to find useful answers. Machine learning is teaching computers to learn from examples, like teaching a computer to recognize cats in pictures after showing it many cat photos.
It’s like asking whether being a chef or a restaurant manager is better – they’re different but related jobs. Data science helps understand information, while AI/ML focuses on making smart computer programs – choose based on what interests you more.