Machine Learning with Python- This tutorial provides a conceptual framework and practical insights to work in the Machine Learning...

## COURSE

## Machine Learning in Finance Using Python

- Machine Learning is the field which applies statistical analysis and computer science for employing ...
- Data preprocessing is where data scientist spent most of their time. These tasks involve selecting t...
- **_Feature Selection_** is one of the core concepts in machine learning and has a high impact on the...
- Once we have cleaned the data and have selected the features from the data for building the model, t...
- The predictions that the model returns will be compared with the real observation of the variable to...
- Model selection refers to choose the best statistical machine learning model for a particular proble...
- The interesting property of a machine learning model is its capacity to predict or categorize new un...
- As we pointed out earlier, both **_classification_** and **_regression_** models are in the field of...
- The **_multiple linear regression_** algorithm states that a response **_y_** can be estimated with ...
- In machine learning, the **_[Logistic Regression](https://financetrain.com/logistic-regression-model...
- Using the scikit-learn package from python, we can fit and evaluate a [**logistic regression**](http...
- **_Decision tree_** is a popular Supervised learning algorithm which can handle **_classification_**...
- The Random Forest algorithm can be described in the following conceptual steps: - Select **_k_** ...
- The **_Support Vector Machine_** is a Supervised [Machine Learning](https://financetrain.com/what-is...
- In this post, we will provide an example of machine learning regression algorithm using the multivar...
- In the post, we will learn about how to create a classifier model in machine learning using python. ...
- **Cross validation** is a technique used to determine how the results of a machine learning model co...
- In this post, we will provide an example of **[Cross Validation](https://financetrain.com/cross-vali...
- Unsupervised learning models are composed of features that are not associated with a response. This ...
- In this post, we will provide an example of the implementation of the **_K-Means_** algorithm in pyt...
- Neural networks is an advanced technique which is within the field of Deep Learning. As we know, mac...

## LESSONS

What is Machine Learning?

Data Preprocessing in Data Science and Machine Lea...

Feature Selection in Machine Learning

Train-Test Datasets in Machine Learning

Evaluate Model Performance - Loss Function

Model Selection in Machine Learning

Bias Variance Trade Off

Supervised Learning Models

Multiple Linear Regression

Logistic Regression

Logistic Regression in Python using scikit-learn P...

Decision Trees in Machine Learning

Random Forest Algorithm in Python

Support Vector Machine Algorithm Explained

Multivariate Linear Regression in Python with scik...

Classifier Model in Machine Learning Using Python

Cross Validation to Avoid Overfitting in Machine L...

K-Fold Cross Validation Example Using Python sciki...

Unsupervised Learning Models

K-Means Algorithm Python Example

Neural Networks Overview