This was a brilliant way to learn! The structure was logical, the pace was spot on, and the examples were super helpful. Highly recommend!
Probability and Statistics for Machine Learning with Python
Master the foundational mathematical concepts of probability and statistics required to build, evaluate, and optimize machine learning models using Python.
-
💬
AI instructor
Magtanong tungkol sa anumang aralin at makakuha ng malinaw na sagot agad, anumang oras. -
🕐
Magsimula anumang oras
Walang iskedyul o deadline — mag-aral sa sarili mong bilis, kahit kailan. -
🌐
Sa Filipino
Mga aralin, gawain at sertipiko — lahat ay ganap na nasa wika mo.
Tungkol sa kursong ito
To truly understand how machine learning algorithms make decisions and predictions, you must understand the mathematics that powers them. This course bridges the gap between abstract mathematical theory and practical data science applications.
You will transition from treating machine learning models as "black boxes" to deeply understanding how they analyze data and make predictions. Through written explanations, step-by-step mathematical breakdowns, and hands-on Python code examples, you will build a strong foundation in probability and statistics.
What you'll learn:
- Understand core probability concepts, including conditional probability, Bayes' theorem, and probability distributions.
- Apply statistical methods to analyze data distributions, calculate summary statistics, and perform hypothesis testing.
- Implement mathematical concepts programmatically using modern Python libraries like NumPy and SciPy.
- Analyze how machine learning algorithms use probability for classification, regression, and decision-making.
- Evaluate model performance using statistical metrics, validation techniques, and error analysis.
The journey begins with essential terminology and the foundational rules of probability, then moves step-by-step into statistical estimation and hypothesis testing, before concluding with practical Python implementations of these mathematical concepts.
This course is designed for beginners in data science and machine learning who want to build their mathematical foundation. Basic familiarity with Python is helpful, but no advanced mathematical background is required.
Start reading today to unlock the mathematical secrets behind modern machine learning.
Ang makukuha mo
-
📜
Certificate ng pagtatapos
Idagdag sa LinkedIn profile mo -
💬
Personal na AI tutor
Natigil sa isang aralin? Itanong sa iyong built-in na tutor ang kahit ano, kahit kailan. -
♾️
Lifetime access
Bumalik anumang oras, walang expiry -
📱
Telepono o computer
Gumagana saanman, kahit anong device -
💸
14-day refund
Walang tanong -
⚡
Maikli at focused
2 oras 30 min ng practical content
Certificate ng pagtatapos
Bawat kursong tinapos mo sa PickAClass ay nag-iisyu ng credential na ganito — orihinal, may sariling code, ma-verify sa URL, at detalyado tungkol sa aktwal na naipakita.
P
PickAClass
Skills profile · verifiable
Dokumento
Certificate of Mastery
Pinatutunayan nito na
Pangalan Apelyido
ay matagumpay na nagpakita ng kahusayan sa
Probability and Statistics for Machine Learning with Python
Mga skill na ipinakita
✓
Pagsusuri ng Behavioral Pattern
Pundasyonal
1.2 oras
✓
Mga framework ng decision-architecture
Bihasa
1.4 oras
✓
Disenyo ng A/B test
Bihasa
1.7 oras
✓
Behavioral copywriting
Advanced
1.9 oras
P
PickAClass — Pangalan Apelyido
Probability and Statistics for Machine Learning with Python
Pahina 2 ng 2
Detalye ng performance
Buod ng coursework
Mga araling natapos
14 / 14
Practice questions
26 / 28
Mga assignment na isinumite
4 (avg 4.5 / 5)
Capstone project
Nasuri — 4.6 / 5
Kabuuang practice
6.2 oras
Performance benchmark
Cohort rank
Top 12% sa 1,625
Oras hanggang matapos
11 araw (median: 22)
Mastery score
91 / 100
Practice-question score
94%
Skill verification
Verified Skill Path
Mga review (13)
Hmm, I'm not sure about this one. Some of the explanations were confusing, and the examples didn't always seem to fit. Wish it was clearer.
Fantastic course. The examples used were spot on and really helped solidify the concepts. My understanding has improved dramatically.
Good introduction. I appreciated the clear steps, although some of the later modules could have used more examples.
Honestly, pretty disappointing. The concepts weren't explained well at all, and the examples were confusing. Wouldn't do this again.
It's a decent introduction. Could benefit from more diverse examples and a slightly better flow between modules.
It's a solid course. The structure is logical and most of the examples were helpful. Could use a few more real-world scenarios though.
Good introduction to the topic. The structure was logical, and most of the examples were relevant, though I wished for more depth in certain areas.
This course exceeded my expectations! The real-world examples were incredibly helpful. I learned so much and feel ready to apply it.
This was exactly what I was looking for. The explanations were so clear and the examples really helped solidify the concepts.
Wow, what a fantastic learning experience. The structure was logical, and I felt like I learned so much in a short time. Definitely recommend.
Hmm, I'm not sure this is for absolute beginners. It assumes a bit of prior knowledge that wasn't explicitly taught. Some examples were confusing.
Couldn't have asked for a better learning experience. The structure flowed perfectly, and the examples were incredibly relevant. Highly recommend!
Kinuha rin ng iba
🔥 Sikat
🎓 May sertipiko
Praktikal na Estadistika para sa mga Nagsisimula sa Data
Sertipiko
Pagsasanay
95,00 kr
→
🔥 Sikat
🎓 May sertipiko
Aplikadong Estadistika at A/B Testing sa Python
Sertipiko
Pagsasanay
95,00 kr
→
🔥 Sikat
🎓 May sertipiko
Statistika para sa Pagsusuri ng Datos: Isang Praktikal na Panimula
Sertipiko
Pagsasanay
95,00 kr
→
🌟 Paboritong ng mga estudyante
🎓 May sertipiko
Paggawa ng Desisyon sa Ilalim ng Kawalan ng Katiyakan: Mga Pundasyon at Pagsusuri ng Panganib
Sertipiko
Pagsasanay
95,00 kr
→
Mga madalas itanong
Ano ang kailangan ko para sa kursong ito? +
Telepono o computer na may internet lang. Walang install, walang special hardware.
Paano ako magbabayad? +
Sa pamamagitan ng card via Stripe. Hindi namin iniimbak ang detalye ng card — secure na hinahawakan ng Stripe.
Pwede ba akong mag-refund? +
Oo — full refund sa loob ng 14 araw, walang tanong.
Hanggang kailan ang access ko? +
Habang buhay. Sa pagbili, sa iyo na ang course — balikan mo kahit kailan.
Makakakuha ba ako ng certificate? +
Oo. Pagkatapos, makakatanggap ka ng certificate na maidadagdag sa LinkedIn profile mo.
Para sa mga learner sa
Tech
Design
Finance
Marketing
Healthcare
Edukasyon
Hospitality
Manufacturing
10
Kumuha ng 10 kurso kada buwan
Nakakakuha ang members ng 10 kursong pinili nila bawat buwan sa 0 kr. Walang bayad kada kurso — subscription lang ang babayaran mo.
500 kr / bawat buwan
- ✓ 10 kurso bawat buwan
- ✓ Kanselahin anumang oras
Nagre-renew buwan-buwan. Ang hindi nagamit na kurso ay mag-e-expire sa katapusan ng bawat buwan ng singil.