Are you thinking of growing your machine learning skills? Then this post might help you. Learn the fundamentals of machine learning using Python, the best programming language available, and be exposed to several techniques that can assist you in researching and visualizing. And if you have already decided to enroll in this machine learning with Python course, let’s have a look at the information you’ll need to know. So, let’s have a look.
Course Overview
Machine Learning with Python Course is a four-week course that helps master the fundamentals of machine learning utilizing Python. Learners may explore Python by learning about data exploration and machine learning techniques such as supervised learning, regression, unsupervised learning, and classifications.
Learners are taught how to explore and display data using built-in tools like Scikit, Matplotlib, and Pandas. Clustering, regression, classification, and sci-kit are all skills that may be learned and added to a CV. A certificate is obtained in addition to demonstrating competence and adding new projects to the portfolio.
Features of Machine Learning with Python Course
- You can get 48 hours of instructor-led sessions.
- Learners get to attend 80 hours of Assignments along with MCQs.
- Not only that, but learners get the chance to deal with 10 real-world live projects.
- 45 hours of hands-on practice opportunity is provided.
- From fundamentals to advanced level – every aspect and topic is covered.
- Code reviews by experts.
Why should you attend this course?
Data Science has now ranked first as it helps businesses to turn their data sets into strategic projections. Learners may fulfill the need and need that businesses have today by studying in-demand machine learning and Python skills.
Gaining certification on this course might be beneficial as more organizations recognize the prospects for progress and successful outcomes utilizing machine learning with Python technologies. This will assist learners in tailoring the sector’s demands by meeting the need of the firms.
Skills you Gain from Machine Learning with Python
- Expertise in Python programming.
- Utilizing Pandas library to manipulate and analyze data.
- For data visualization – Seaborn, Matplotlib, and GGplot2
- For describing the distribution of data, Standard deviation, variance is used.
- Hypothesis testing to calculate conditional probability.
- Variance analysis
- Creation of linear regression models
- Utilizing the technique of dimensionality reduction.
- Modeling utilizing logistic regression.
- Constructing Decision Tree models for Classification & Regression.
What do you get to learn?
- Learn about Python’s numerous libraries for manipulating, preprocessing, and visualizing data.
- Discover the differences between unsupervised and supervised machine learning.
- Discover the tiniest flaw in the machine learning model and discover how to use optimization methods.
- Topics like Linear & Logistic Regression, Bayesian Classifiers, and KNN Classification are covered.
- Hierarchical & K-means Clustering – learned under unsupervised learning.
- Learn to employ various learning methods to improve prediction performance.
Prerequisites
- Learners must have an understanding of at least one coding language.
- Python is the ideal language for Machine learning since it is straightforward.
Conclusion
So, to utilize the power of data to get a competitive advantage, this Machine Learning with Python course can help invest in a forward-thinking data talent scope. It unlocks the predictive value of data, makes better decisions, and develops business strategies. This course will help you enhance work prospects in the future if you want to get a deeper grasp of solutions via applied learning and personalized training sessions.
