hexagramai / tutorials

ML, data tutorials

Data Tutorials

每周免费分享:

---

Onging

1. 第二学期BA/DA/DS求职准备，第二节, 周三 东部时间10:00 PM 01/22/2019

Pending

General Topics

文科转BA/DA (15 person to start, now: 12)

ML

ML theory series for interview: (?? person to start, now: 2)

Coding

Python 入门: (10 person to start, now: 0) basic pytho, OOD (objective-oriented designed), data science toolkits (pandas, matplotlib, scikit-learn) [???]

SQL 入门:

基础 算法+ 数据结构 (10 person to start, now: 5)

Interivew

General Interivew techniques for DS + MLE: (?? person to start, now: 4)

---

其他课程

Project

Kaggle projects: (? person to start, now: 1)

面经讲解系列:

DS: 公司 电面/onsite mock + 讲解(5 person to start)

ML

Walkthrough ML interview questions: (??? person to start, now: 0)

Data challenge series:

Capital One DS

Import Notes:

• 参加方式: Zoom 直播
• Join us: If interested in teaching, contact us.

tutorials's Issues

Sql 入门

leave your name below，凑够人就开

Important content to cover:
1: Basic operation
2: 刷题的目标
3: group by 的讲解
etc

Interested in teaching :)

ML interview questions - Jason

Interview questions of ML algorithm

Content

• Data validation:

Data quality check, missing value, imbalance data & etc

• Modeling

Common machine learning models

• Evaluation

All kinds of loss function

• Optimization

Gradient descent, EM Algo

Kaggle projects - Bangda

Finish a kaggle competition in one / two months.

Cover:

• Workflow of kaggle competitions
• Build pipelines for ML tasks in kaggle
• Exploratory Data Analysis
• Data preprocessing and Feature engineering
• Machine learning / Deep learning model tuning, evaluation and selection

Topic of competitions include forecasting, fraud detection, NLP, recommendation, etc.

You can visit my github profile to review the competitions I've experienced: https://github.com/bangdasun/kaggle

Here is a collection of competition categories, awesome notebooks: https://github.com/HexagramAI/tutorials/blob/master/2nd_semester/introduction_kaggle/kaggle_collections.md

Click 👍if you are interested in this.

DA cases walk through

sth

内推专栏

现有的内推公司: 正在完善内推体系中

QuantumBlack
Fidelity Investments
T-Mobile
Merkle Inc
TIAA/Nuveen
HBO, WarnerMedia
Hertz
Amazon
Wayfair
Stanley Black Decker
Walmart
McKinsey
Capital One
Tiaa / Nuveen
Ericsson

Tableau入门

30-45min，target：零基础群众

• tableau两个版本简介
• 导入数据、链接database
• 变量、计算变量
• bar chart, scatter, region chart

时间：Feb 3- 9, 10PM EST

DS面经mock + 讲解

课程内容：

Mock 面试内容(根据自身面试经历) + 面试内容讲解

Available list:

• Wayfair DA, DS phone interview
• Apple MLE
• Snapchat MLE
• Amazon MLE
• Paypal MLE

python 入门

• basic python
• OOD (objective-oriented designed),
• data science toolkits (pandas, matplotlib, scikit-learn) [???]

Apple MLE mock interview

Coding session

ML questions

Basic Algorithm + data structure for DS + MLE - Jason

Basic data structure + Algorithm for DS + MLE - Jason

Warning: this only covers techniques for DS (not cs) related coding interview requirements.

Prerequisites

Python3.6 installed
Jupyter notebook ready

Topics:

• Basic data structure
  • Python: list, tuple, dictionary
  • General: array, heap, deque, stack, linked list, Tree
• Basic algorithm
  • Sort
  • Recursive
  • Dynamic programming
  • Binary search
  • DFS
  • BFS
  • Linked list
  • Heap
  • Deque
  • etc

Schedule:

1. Basic data structure
2. Basic algorithm + examples
3. How to practice

Amazon MLE

ML questions

Coding

Interview techniques

General Interview techniques (DS, MLE) - Jason

Content:

• DS interview content + tech
• MLE interview content + tech

Details:

• What kind of questions are asked
• How to answer
• Knowledge to learn

文科转BA/DA

Pending courses

想参加的同学留下名字，以及感兴趣的话题

人凑够了就开

ML theory series - Jason

Course schedule

Warning, this course is not free

Content: math & theory focus

• Learning-based:

  • Linear regression
  • logistic regression
  • SVM

• Ensemble based:

  • RandomForest
  • Boosting

• Other models:

  • KNN
  • Kmeans

Spark 大数据处理入门

45min。有兴趣的同学在下面留言