scikit-model

There are 0 repository under scikit-model topic.

Machine-Learning-with-Scikit-Learn-Python-3.x
reddyprasade / Machine-Learning-with-Scikit-Learn-Python-3.x
In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This problem can be either: classification: samples belong to two or more classes and we want to learn from already labeled data how to predict the class of unlabeled data. An example of a classification problem would be handwritten digit recognition, in which the aim is to assign each input vector to one of a finite number of discrete categories. Another way to think of classification is as a discrete (as opposed to continuous) form of supervised learning where one has a limited number of categories and for each of the n samples provided, one is to try to label them with the correct category or class. regression: if the desired output consists of one or more continuous variables, then the task is called regression. An example of a regression problem would be the prediction of the length of a salmon as a function of its age and weight. unsupervised learning, in which the training data consists of a set of input vectors x without any corresponding target values. The goal in such problems may be to discover groups of similar examples within the data, where it is called clustering, or to determine the distribution of data within the input space, known as density estimation, or to project the data from a high-dimensional space down to two or three dimensions for the purpose of visualization (Click here to go to the Scikit-Learn unsupervised learning page).
sklearn machine-learning machine-learning-algorithms regression python-3 python unsupervised-learning supervised-learning scikit-learn classification prediction vector semi-supervised-learning reinforcement-learning scikit-image scikit-learn-python scikit-learn-api scikit-model consists
Language:Jupyter Notebook 52
oskar-j / medical_classifier
Full stack machine learning - a scikit model in action
scikit-model machine-learning data-science classification
Language:HTML 1
j4klein95 / poverty_and_its_correlates
A basic analysis of poverty with a special emphasis on the United States.
poverty correlations regression-algorithms scikit-learn scikit-model classification-algorithm census-data cdc regression-analysis
Language:HTML 0
nicknobad / BinaryImageClassification
Benchmark of sci-kit learn models and a tensorflow model for Binary Image Classification
binaryclassification scikit-learn tensorflow tensorflow-models tensorflow-experiments tensorflow-examples scikitlearn-machine-learning scikit-model image-classification
Language:Python 0
priyaa98 / Projects
Topics related to Machine Learning
machine-learning machinelearning-python python3 scikit-learn scikitlearn-machine-learning scikit-model matplotlib-pyplot seaborn-plots seaborn scikit-learn-python
Language:R 0
shivgarg / twitter-sentiment
Sentiment Analysis of Tweets
sentiment-analysis tweets scikit-model sklearn tf-idf
Language:Python

scikit-model

reddyprasade / Machine-Learning-with-Scikit-Learn-Python-3.x

oskar-j / medical_classifier

j4klein95 / poverty_and_its_correlates

nicknobad / BinaryImageClassification

priyaa98 / Projects

shivgarg / twitter-sentiment