Based on the prorgrams I have gone during previous days. There are different presentation of datasets for different goal or need. For example ,in computer vision,the dataset is usually a collection of images. Of course ,there are some csv files to descripe the features of dataset using PCA or transfer learning.

University of Michigan - Ann Arbor

Here are a list of free resources to find datasets. Most will be available in CSV format for easy integration into R or Python. 

Sample Datasets

[kaggle.com/datasets](https://www.kaggle.com/datasets)

[data.world](https://www.data.world/)

[data.gov]()

[reddit.com/r/datasets](https://www.reddit.com/r/datasets)

(For ML) [archive.ics.uci.edu/ml/index.php]
(https://archive.ics.uci.edu/ml/index.php) 

A summary of dataset websites [https://lionbridge.ai/datasets/18-websites-to-download-free-datasets-for-machine-learning-projects/]

Dataset Websites

Create a simple sample regression dataset in SK learn:

from sklearn.datasets import make_regression
plt.figure()
plt.title('Sample regression problem with one input variable')
X_R1, y_R1 = make_regression(n_samples = 100, n_features=1,
                            n_informative=1, bias = 150.0,
                            noise = 30, random_state=0)
plt.scatter(X_R1, y_R1, marker= 'o', s=50)
plt.show()

Create Simple Sample Regression DataSet

Create a complex sample regression dataset:
#synthetic dataset for more complex regression
from sklearn.datasets import make_friedman1
plt.figure()
plt.title('Complex regression problem with one input variable')
X_F1, y_F1 = make_friedman1(n_samples = 100,
                           n_features = 7, random_state=0)
plt.scatter(X_F1[:, 2], y_F1, marker= 'o', s=50)
plt.show()

Create Complex Sample Regression Dataset

One of the most popular datasets to test deep learning techniques related to autonomous vehicles. Ground-truth data is collected by driving around a city using a Velodyne laser scanner and a GPS localization system. The car has two high-resolution color and grayscale video cameras to test both monocular and stereo vision algorithms.
Dataset can be found here: http://www.cvlibs.net/datasets/kitti/

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