The Googler
For more details on some of the works that are not yet on this blog visit here. In this field of Data Science, I believe we can all become the versions of ourselves by holding on to the right resources. I will share a few of the most popular online resources that would be of great help to you. Every Data Scientist is also a googler, a problem solver and hence the need for reliable resources to help ease your sweat.
The tables below should give you some quick online sources to run to for various solutions;
Data Science related issues online resources
| Blogs | Related item | Description |
|---|---|---|
| StachOverFlow | python | Ask all data science, python related questions here |
| StackExchange | python/maths | All coding, mathematics and other related questions here |
| Jason Brownlee, PhD | ML, DL | Machine learning, deep learning problems presented with code and vivid explanations |
| Medium | ML, DL, Motivations | Machine learning, Deep learning, best practices and state of the art domain knowledge |
Online competition platforms for nurturing your skills
| Platform | Description |
|---|---|
| Kaggle | This is worldwide plaform for various data science related competition of all applications |
| Zindi Africa | As the name suggests, the platform opens up competition for African data scientist to quicken their skills |
| Datacamp | This platform also provides anenue for data scientist to practice that skills and learn a lot of skills in the field |
The above information is but just a little of the many open source blogs that valuable information can be retrived from. If you’re stuck the most common practice is google it.