https://github.com/rakibhhridoy/easywaydiveinto-datascience
Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.
https://github.com/rakibhhridoy/easywaydiveinto-datascience
algorithms algorithms-implemented bayesian-statistics data-science deep-learning deep-neural-networks linear-algebra machine-learning matplotlib multivariate-calculus numpy optimization pandas python scikit-learn scipy seaborn statistics statsmodels tensorflow
Last synced: 3 months ago
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Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.
- Host: GitHub
- URL: https://github.com/rakibhhridoy/easywaydiveinto-datascience
- Owner: rakibhhridoy
- Created: 2020-08-08T12:49:37.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2021-11-30T18:27:58.000Z (over 3 years ago)
- Last Synced: 2024-12-25T20:25:13.181Z (4 months ago)
- Topics: algorithms, algorithms-implemented, bayesian-statistics, data-science, deep-learning, deep-neural-networks, linear-algebra, machine-learning, matplotlib, multivariate-calculus, numpy, optimization, pandas, python, scikit-learn, scipy, seaborn, statistics, statsmodels, tensorflow
- Language: Jupyter Notebook
- Homepage: https://rakibhhridoy.github.io
- Size: 5.89 MB
- Stars: 1
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# *Easy Way to Dive Into Data Science*
## This repo consist learning:
```bash
numpy linear algebra
pandas gradient descent
matplotlib algorithm from scratch
scipy multivariate calculus
statsmodel statistics
tensorflow frequential statistics
scikit-learn bayesian statistics
seaborn all formula fr ds
```
## Pre requirements
##### Make sure you have ```Python``` installed. If you haven't python installed you can get from [here](https://www.python.org/downloads/). Or you can install [Anaconda](https://www.anaconda.com/products/individual) for easy access of all libraries.
##### After Installing ```Python``` let's install our necessary libraries. Open *```Python Command Prompt```* and type the following. *[Not needed in Anaconda Situation]*
```bash
pip install pandas
pip install numpy
pip install keras
pip install scipy
pip install matplotlib
pip install statsmodel
pip install sklearn
pip install seaborn
```
##### For using any libraries you have to import the file first
```python
import pandas as pd #pd is alias of pandas & so others
import numpy as np
import matplotlib as mp
import matplotlib.pyplot as plt
import seaborn as sns
import sklearn as sk
import tensorflow as tf
import statsmodel as sm
import scipy as sc
```
#### If you are not get any error till now, lets dive into the notebooks that is provided in *****```Notebook```***** folder.
### Get touch with me
Connect- [linkedin](https://linkedin.com/in/rakibhhridoy)
Website- [RakibHHridoy](https://rakibhhridoy.github.io)