In this video series, we are going to learn about machine learning with Python. There are activities where computers are better than humans, and some activities where humans are better than computers. In simple words, machine learning is the technique that makes computers better at things than humans. It’s about making machines learn the things humans do.
Machine learning is a bigger area, of which deep learning and mathematical models are important parts. One might think about why it is important to learn machine learning? It is because it has a big implication in real life too. Spam filtering in emails, voice assistance devices, online video or music streaming recommendations, are a few of the real-life applications of machine learning which are already available to us. However, the best use of this feature can be expected in the near-decade in the form of driverless cars. Go through this machine learning playlist to understand these concepts more easily.
This machine learning tutorials playlist includes linear regression, gradient descent, logistic regression, decision tree, support vector, K-fold cross-validation, KNN classification, etc. The playlist also includes several practical implication projects which will help you get a more clear understanding of the concept. Another topic included in this machine learning course is Feature Engineering, which is an important part of data analytics and machine learning.
Aulas do Curso
(42 vídeos)
0 de 42 aulas concluídas
0%
Progresso salvo somente neste navegador.
0
Machine Learning Tutorial Python -1: What is Machine Learning?
Want to map your data analysis process clearly? Try Wondershare EdrawMax :https://event.wondershare.com/api/s/3Mj
What …
1
Machine Learning Tutorial Python - 2: Linear Regression Single Variable
Want to map your data analysis process clearly? Try Wondershare EdrawMax :https://event.wondershare.com/api/s/3Mj
In th…
2
Machine Learning Tutorial Python - 3: Linear Regression Multiple Variables
In this machine learning tutorial with python, we will write python code to predict home prices using multiple variable …
3
Machine Learning Tutorial Python - 4: Gradient Descent and Cost Function
In this tutorial, we are covering few important concepts in machine learning such as cost function, gradient descent, le…
4
Machine Learning Tutorial Python - 5: Save Model Using Joblib And Pickle
Training machine learning model can be quite time consuming if training dataset is very big. In this case it makes sense…
5
Machine Learning Tutorial Python - 6: Dummy Variables & One Hot Encoding
Machine learning models work very well for dataset having only numbers. But how do we handle text information in dataset…
6
Machine Learning Tutorial Python - 7: Training and Testing Data
sklearn.model_selection.train_test_split method is used in machine learning projects to split available dataset into tra…
7
Machine Learning Tutorial Python - 8: Logistic Regression (Binary Classification)
Logistic regression is used for classification problems in machine learning. This tutorial will show you how to use skle…
8
Machine Learning Tutorial Python - 8 Logistic Regression (Multiclass Classification)
Logistic regression is used for classification problems in machine learning. This tutorial will show you how to use skle…
9
Machine Learning Tutorial Python - 9 Decision Tree
Want to map your data analysis process clearly? Try Wondershare EdrawMax :https://event.wondershare.com/api/s/3Mj
Decis…
10
Machine Learning Tutorial Python - 10 Support Vector Machine (SVM)
?????????????????????????? (??????????????????: ??:????):
The graph labels should be:
Graph 1 ? High C (Weak Regulariza…
11
Machine Learning Tutorial Python - 11 Random Forest
Random forest is a popular regression and classification algorithm. In this tutorial we will see how it works for classi…
12
Machine Learning Tutorial Python 12 - K Fold Cross Validation
Many times we get in a dilemma of which machine learning model should we use for a given problem. KFold cross validation…
13
Machine Learning Tutorial Python - 13: K Means Clustering Algorithm
K Means clustering algorithm is unsupervised machine learning technique used to cluster data points. In this tutorial we…
14
Machine Learning Tutorial Python - 14: Naive Bayes Classifier Algorithm Part 1
This is part 1 of naive bayes classifier algorithm machine learning tutorial. Naive bayes theorm uses bayes theorm for c…
15
Machine Learning Tutorial Python - 15: Naive Bayes Classifier Algorithm Part 2
In this python machine learning tutorial for beginners we will build email spam classifier using naive bayes algorithm. …
16
Machine Learning Tutorial Python - 16: Hyper parameter Tuning (GridSearchCV)
In this python machine learning tutorial for beginners we will look into,
1) how to hyper tune machine learning model pa…
17
Machine Learning Tutorial Python - 17: L1 and L2 Regularization | Lasso, Ridge Regression
In this Python machine learning tutorial for beginners, we will look into,
1) What is overfitting, underfitting
2) How t…
18
Machine Learning Tutorial Python - 18: K nearest neighbors classification with python code
In this video we will understand how K nearest neighbors algorithm work. Then write python code using sklearn library to…
19
Machine Learning Tutorial Python - 19: Principal Component Analysis (PCA) with Python Code
PCA or principal component analysis is a dimensionality reduction technique that can help us reduce dimensions of datase…
20
Machine Learning Tutorial Python - 20: Bias vs Variance In Machine Learning
Bias variance trade off is a popular term in statistics. In this video we will look into what bias and variance means in…
21
Machine Learning Tutorial Python - 21: Ensemble Learning - Bagging
Ensemble learning is all about using multiple models to combine their prediction power to get better predictions that ha…
22
Machine Learning & Data Science Project - 1 : Introduction (Real Estate Price Prediction Project)
This data science project series walks through step by step process of how to build a real estate price prediction websi…
23
Machine Learning & Data Science Project - 2 : Data Cleaning (Real Estate Price Prediction Project)
This data science project series walks through step by step process of how to build a real estate price prediction websi…
24
Machine Learning & Data Science Project - 3 : Feature Engineering (Real Estate Price Prediction)
This data science project series walks through step by step process of how to build a real estate price prediction websi…
25
Machine Learning & Data Science Project - 4 : Outlier Removal (Real Estate Price Prediction Project)
This data science project series walks through step by step process of how to build a real estate price prediction websi…
26
Machine Learning & Data Science Project - 5 : Model Building (Real Estate Price Prediction Project)
This data science project series walks through step by step process of how to build a real estate price prediction websi…
27
Machine Learning & Data Science Project - 6 : Python Flask Server (Real Estate Price Prediction)
This data science project series walks through step by step process of how to build a real estate price prediction websi…
28
Machine Learning & Data Science Project - 7 : Website or UI (Real Estate Price Prediction Project)
This data science project series walks through step by step process of how to build a real estate price prediction websi…
29
Deploy machine learning model to production AWS (Amazon EC2 instance)
In this video, I will show you how to deploy machine learning model to production on amazon aws ec2 instance. We will us…
30
Data Science & Machine Learning Project - Part 1 Introduction | Image Classification
With this video, we are beginning end to end machine learning project or data science project for sports celebrity image…
31
Data Science & Machine Learning Project - Part 2 Data Collection | Image Classification
There are 4 different ways of collecting data for our project,
(1) Manually download images from google images
(2) Use …
32
Data Science & Machine Learning Project - Part 3 Data Cleaning | Image Classification
In this video, we are going to clean images that we downloaded from google in a way that it is suitable to train our cla…
33
Data Science & Machine Learning Project - Part 4 Feature Engineering | Image Classification
In this video, we will use cropped images and apply wavelet transform to extract meaning features that can help with ima…
34
Data Science & Machine Learning Project - Part 5 Training a Model | Image Classification
Once we have X and y after applying feature engineering techniques, we can now create simple SVM model to get a feel of …
35
Data Science & Machine Learning Project - Part 6 Flask Server | Image Classification
Python flask is a light weight web server. In this video, we will write a flask server that will use the trained model a…
36
Data Science & Machine Learning Project - Part 7 Build Website | Image Classification
In this video, we will build a website for our project. This website have an area where someone can drag and drop an ima…
37
Data Science & Machine Learning Project - Part 8 Deployment & Exercise | Image Classification
We will look at how you can deploy trained model to production. In fact deploy entire project to production. This will b…
38
What is feature engineering | Feature Engineering Tutorial Python # 1
Feature engineering is an important area in the field of machine learning and data analysis. It helps in data cleaning p…
39
Outlier detection and removal using percentile | Feature engineering tutorial python # 2
Outliers are unusual data points that differ significantly from rest of the samples. They can occur due to an error in d…
40
Outlier detection and removal: z score, standard deviation | Feature engineering tutorial python # 3
If we have a dataset that follows normal distribution than we can use 3 or more standard deviation to spot outliers in t…
41
Outlier detection and removal using IQR | Feature engineering tutorial python # 4
IQR is another technique that one can use to detect and remove outliers. The formula for IQR is very simple. IQR = Q3-Q1…
