Explore machine learning by applying Python to predictive modeling and automation. Learn to make data smarter through algorithmic design and critical analysis.
Master Python for data analysis, machine learning, and automation. Build predictive models, create dynamic dashboards, and unleash the power of data visualization. Launch your career in data science and Python engineering, equipped with Python, NumPy, Pandas, and Matplotlib.
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.
Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.
Machine learning is a subset of artificial intelligence that allows programs to use past data and experience to learn and optimize performance. In other words, machine learning programs can “think” and generate solutions based on experience without the direct input of a programmer.
You’ve likely interacted with machine learning in the past without realizing it. Streaming services like Spotify are a great example. As this app gains more data about your personal preferences, it is better able to make relevant music recommendations for you. When you interact with the program by “liking” a song, you provide more data that it then uses to make future recommendations.
Python and data science are closely related subjects to machine learning. You can learn more about Python classes in San Francisco as well as data science classes in the area.
San Francisco is home to a large number of tech and social media companies, including Facebook, Google, Airbnb, X (formerly known as Twitter), and Google. Given the role machine learning can play in these businesses, this is an in-demand skill for careers in San Francisco.
Individuals with machine learning skills can pursue careers as Machine Learning Engineers, Data Scientists, and Data Engineers. Given the high cost of living in San Francisco, each of these roles makes more on average than in the United States as a whole. Machine Learning Engineers can anticipate the highest typical yearly salary of the three roles, at around $198,000 per year on average. Data Engineers bring home about $157,000 per year, and Data Scientists make $157,000 on average.
Students who would like to attend an in-person machine learning class in San Francisco can do so with General Assembly. This school offers a two-day Python and Machine Learning Bootcamp. The course has offerings on both weekends and weekdays and teaches students about the fundamentals of Python.
Additionally, this course teaches students how to collect data from multiple sources, including APIs and Excel, as well as use machine learning algorithms to obtain additional insights. Students will also learn about data visualization while enrolled in this course.
Live online courses are a great way to learn about machine learning from the comfort of your own home or office. Virtual courses are interactive and allow you to ask your instructor questions and receive feedback in real time, just as you would during in-person training.
Noble Desktop offers several virtual classes that cover machine learning. In particular, its Data Science Certificate prepares individuals for careers in data science and Python engineering roles. In this program, students learn Python programming fundamentals, including how to build machine learning models.
Noble also has two courses dedicated specifically to machine learning. Its Python Machine Learning course requires that students are already comfortable with Python and data science libraries (NumPy and Pandas) to participate. The course covers the skills required to solve real-world problems using machine learning.
Its Python Data Science and Machine Learning Bootcamp teaches students how to code with Python, as well as use NumPy, Pandas, and Matplotlib. Students will also use machine learning packages like scikit-learn to create predictive models. This course meets for 66 hours, and students can choose between daytime and evening formats.
Additionally, NYIM Training has live online Data Science courses that cover machine learning. Similarly, you may be interested in attending one of NYC Career Centers’ live online Data Science courses, including a Python Machine Learning class.
Finally, young people can attend NextGen Bootcamp’s Machine Learning classes for high school students. Its Python Data Science course meets for two weeks in the summer and teaches students about Python and machine learning.
A Data Science Bootcamp can be a great way to take a deeper dive into machine learning concepts. Many bootcamps prepare students for careers in data science, including positions like entry-level data analysis roles. Additionally, bootcamps often offer career services such as resume/portfolio reviews and 1-on-1 coaching, to assist participants with landing their first role post-bootcamp.
Data Science Bootcamps such as Noble’s Data Science Certificate course and Flatiron School’s Data Science Bootcamp, cover machine learning as part of their data science curricula. Those dedicated to learning Machine Learning as part of a greater data science curriculum can learn more about data science bootcamps in San Francisco here.
Professionals looking to upskill or reskill may be interested in Noble Desktop’s corporate and onsite Machine Learning training. This training can be held at corporate offices or live online using a teleconference platform like Zoom. Companies can choose from Noble’s existing courses or request custom-made training to meet an organization’s unique training needs.
Additionally, companies can purchase vouchers for Noble’s open enrollment group classes. Your company will receive a discount if multiple vouchers are purchased. If you’d like to learn more about corporate and onsite training, don’t hesitate to reach out through email.