Python for Machine Learning
This course builds upon CoRise's Intro to Numpy and Pandas course, and dives deeper into data visualization and foundations of machine learning. You'll learn how to use core data science libraries - Scikit-learn, and Plotly. At the end of the course you'll have a portfolio of data science applications in Streamlit that you can use to showcase your learning!
We taught over 5000 learners from these companies:
Course taught by expert instructors
Fmr. Staff Machine Learning Researcher at Twitter
Luca Belli was the Co-founder and Research Lead for Twitter's Machine learning Ethics, Transparency and Accountability (META) where he guided industry leading approaches for responsible ML practices and product changes. Previously he operated as a Data Science and Machine Learning Engineers at Conversant and WolframAlpha. His research interests lie at the intersection of feedback loops, algorithmic amplification (with a special eye on politics), and algorithmic audits. He holds a Ph.D. in Math from Tor Vergata University in Rome.
A course you'll actually complete. AI-powered learning that drives results.
Transform your learning programs with personalized learning. Real-time feedback, hints at just the right moment, and the support for learners when they need it, driving 15x engagement.
Live courses by leading experts
Our instructors are renowned experts in AI, data, engineering, product, and business. Deep dive through always-current live sessions and round-the-clock support.
Practice on the cutting edge
Accelerate your learning with projects that mirror the work done at industry-leading tech companies. Put your skills to the test and start applying them today.
Flexible schedule for busy professionals
We know you’re busy, so we made it flexible. Attend live events or review the materials at your own pace. Our course team and global community will support you every step of the way.
Each course comes with a certificate for learners to add to their resume.
15-20x engagement compared to async courses
Support & accountability
You are never alone, we provide support throughout the course.
Learn and apply skills with real-world projects.
Anyone with some programming knowledge interested in becoming a Data Analyst, Data Scientist or Machine Learning Engineer.
Software Engineers skilled in programming looking for a career change into data science.
Financial Analysts, Accountants, or other professionals looking to learn Python for powerful analysis.
Comfort with Python fundamentals (as covered in Uplimit's Python Crash Course/Intro to Python for Data Science) - variables, functions, lists, loops, dictionaries, pandas, NumPy
- Graphs, Charts and Histograms
- Customizing Visualizations
- Overlaying Plots and Advanced Visualization
- Customized, colorful data visualizations of Airbnb data using Plotly that are deployed as Streamlit applications.
- Feature engineering for machine learning
- Supervised Machine Learning (Linear Regression and Decision Trees)
- Implement scikit-learn algorithms to apply supervised learning techniques to the Airbnb dataset.
- Unsupervised Machine Learning (k-means)
- Tuning Machine Learning Models
- Apply unsupervised machine learning techniques to the dataset, and tune the model for improved performance.
This was by far the best training course I have attended. The way it was structured and the support available from the instructor and TAs really made the learning valuable and lasting. I am looking forward to other courses in the near future!
Shoutout to the course team for helping me (and others) keep pushing along to make sure we get through the finish line, even when things are hard. I can't tell you how much I appreciate the accountability and extra help!
I love it - just enough content and guidance that can be covered between work, kids, and life but still learn and be challenged
Completing this course has given me the foundation and confidence needed to make the full jump from Finance to Analytics Engineering. I've always felt like I needed a "credential" to make the full leap. Having gone through the course and learning with this community has made me feel like less of an "imposter" and like I have the skills/knowledge to do this as my profession (or at least know where to go to find the answers!). Really appreciative of the entire staff, TAs, cohort, pod, etc.
Thanks for the awesome course! Really helped me to improve my skillset.
This course has been an amazing learning experience - no only because of the content of the course but also the way in which is taught! It has the perfect mix of online - individual work - community time and resources. The teaching materials are very high quality and the whole team are super attentive and responsive.
It's a great way to learn hands-on experience with dbt, get exposed to real life problems, industry experts and also networking! I highly recommend it!
I would recommend this to anyone looking to get their feet wet in dbt that needs a structured course and accountability to learn a new tool/skill
Absolutely stoked to share this! Over the last month I had the pleasure of learning from some of the great minds coming out of Facebook, Google, and other enterprises doing bleeding edge work in Machine Learning and Natural Language Processing. Being part of a select cohort spanning three continents I was able to hear about initiatives and research from AI/ML professionals around the globe. NLP is a fast emerging sector that is changing the landscape of software everywhere you look. I'm so honored to be part of this experience and am taking away so many great connections and insights in a field that I really love.
I’ve taken lots of online courses before. The track was a much better experience than any of the other courses.
The Uplimit NLP course has been the most efficient way I've ever learned new skills. Having access to talented instructors and peers made the learning process both quicker and richer.
I got to learn and directly interact with world class practitioners of NLP which no other course in the market offers.
I really enjoyed the course and the community around it. I think it was a great way to not only learn about NLP, but also connect with other engineers in the field.