Datacamp_course_material

This repository contains list of course material for python ,R, data science related topics from datacamp.

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
1 Scalable Data Processing in R		1 Scalable Data Processing in R
10 Streaming Data with AWS Kinesis and Lambda		10 Streaming Data with AWS Kinesis and Lambda
11 Spoken Language Processing in Python		11 Spoken Language Processing in Python
12 Foundations of Inference		12 Foundations of Inference
13 Reshaping Data with pandas		13 Reshaping Data with pandas
15 Interactive Data Visualization with Bokeh		15 Interactive Data Visualization with Bokeh
16 Text Mining with Bag-of-Words in R		16 Text Mining with Bag-of-Words in R
17 Introduction to Predictive Analytics in Python		17 Introduction to Predictive Analytics in Python
18 Credit Risk Modeling in R		18 Credit Risk Modeling in R
19 Machine Learning for Finance in Python		19 Machine Learning for Finance in Python
2 Human Resources Analytics Predicting Employee Churn in Python		2 Human Resources Analytics Predicting Employee Churn in Python
20 Introduction to Portfolio Risk Management in Python		20 Introduction to Portfolio Risk Management in Python
21 Introduction to AWS Boto in Python		21 Introduction to AWS Boto in Python
22 Analyzing Social Media Data in Python		22 Analyzing Social Media Data in Python
23 Machine Learning with caret in R		23 Machine Learning with caret in R
24 Case Study Exploratory Data Analysis in R		24 Case Study Exploratory Data Analysis in R
25 Case Studies in Statistical Thinking		25 Case Studies in Statistical Thinking
26 Data Processing in Shell		26 Data Processing in Shell
27 Image Processing with Keras in Python		27 Image Processing with Keras in Python
28 Building chatbots in python		28 Building chatbots in python
29 Dealing with Missing Data in Python		29 Dealing with Missing Data in Python
3 Human Resources Analytics Predicting Employee Churn in R		3 Human Resources Analytics Predicting Employee Churn in R
30 Statistical Simulation in Python		30 Statistical Simulation in Python
32 Case Study School Budgeting with Machine Learning in Python		32 Case Study School Budgeting with Machine Learning in Python
33 Machine Learning for Time Series Data in Python		33 Machine Learning for Time Series Data in Python
34 Extreme Gradient Boosting with XGBoost		34 Extreme Gradient Boosting with XGBoost
35 Exploratory Data Analysis in R		35 Exploratory Data Analysis in R
36 Introduction to TensorFlow in Python		36 Introduction to TensorFlow in Python
37 Preprocessing for Machine Learning in Python		37 Preprocessing for Machine Learning in Python
38 Linear Classifiers in Python		38 Linear Classifiers in Python
39 Introduction to Databases in Python		39 Introduction to Databases in Python
4 CLI automation in python		4 CLI automation in python
40 Manipulating DataFrames with pandas		40 Manipulating DataFrames with pandas
41 Regular Expressions in Python		41 Regular Expressions in Python
42 Image Processing in Python		42 Image Processing in Python
43 Joining data with dplyr		43 Joining data with dplyr
44 Analyzing Police Activity with pandas		44 Analyzing Police Activity with pandas
45 Machine Learning with Tree-Based Models in Python		45 Machine Learning with Tree-Based Models in Python
46 Introduction to Natural Language Processing in Python		46 Introduction to Natural Language Processing in Python
47 Cleaning Data in Python		47 Cleaning Data in Python
49 Streamlined Data Ingestion with pandas		49 Streamlined Data Ingestion with pandas
5 Building Recommendation Engines with PySpark		5 Building Recommendation Engines with PySpark
50 Statistical Thinking in Python (Part 2)		50 Statistical Thinking in Python (Part 2)
51 Introduction to Deep Learning in Python		51 Introduction to Deep Learning in Python
52 Exploratory Data Analysis in SQL		52 Exploratory Data Analysis in SQL
53 Intermediate Importing Data in Python		53 Intermediate Importing Data in Python
54 Unsupervised Learning in Python		54 Unsupervised Learning in Python
56 Introduction to Data Visualization with Seaborn		56 Introduction to Data Visualization with Seaborn
57 Statistical Thinking in Python (Part 1)		57 Statistical Thinking in Python (Part 1)
58 Introduction to Importing Data in Python		58 Introduction to Importing Data in Python
59 Introduction to Data Visualization with Matplotlib		59 Introduction to Data Visualization with Matplotlib
6 Choice Modeling for Marketing in R		6 Choice Modeling for Marketing in R
60 Python Data Science Toolbox (Part 2)		60 Python Data Science Toolbox (Part 2)
61 Python Data Science Toolbox (Part 1)		61 Python Data Science Toolbox (Part 1)
62 Supervised Learning with scikit-learn		62 Supervised Learning with scikit-learn
63 Introduction to Data Science in Python		63 Introduction to Data Science in Python
65 Intermediate Python		65 Intermediate Python
66 Intro to Python		66 Intro to Python
67 Data Science for business		67 Data Science for business
68 Machine Learning for business		68 Machine Learning for business
69 Data-Driven Decision Making for Business		69 Data-Driven Decision Making for Business
7 Sentiment Analysis in R		7 Sentiment Analysis in R
70 Data Engineering for Everyone		70 Data Engineering for Everyone
71 Data Visualization for Everyone		71 Data Visualization for Everyone
72 Intro to Power BI		72 Intro to Power BI
73 Data Modeling in Power BI		73 Data Modeling in Power BI
74 DAX in Power BI		74 DAX in Power BI
8 Introduction to Spark with sparklyr in R		8 Introduction to Spark with sparklyr in R
9 Quantitative Risk Management in R		9 Quantitative Risk Management in R
LICENSE		LICENSE
README.md		README.md

License

akshay-kamath/Datacamp_course_material

Folders and files

Latest commit

History