Machine Learning(ML) is a subset of Artificial Intelligence(AI).
Machine Learning has the ability to learn from experience(data) to solve the real-world problem without being explicitly programmed.
It has the set of mathematical algorithms that train on a data set to make predictions or take actions in order to optimize some problem.
It has mainly three types:
- Supervise Learning
- Unsupervised Learning
- Reinforcement Learning
Python Library for Machine Learning
To solve the Machine Learning problem for that data gathering, cleaning and visualization must be done. For that bellow python library, you should learn first.
NumPy
Matplotlib
- Python Matplotlib Tutorial
- Matplotlib Line Plot
- Matplotlib Histogram
- Matplotlib Bar Chart
- Matplotlib Pie Chart
- Matplotlib Scatter Plot
- Matplotlib Subplot
- Matplotlib Save Figure
- Matplotlib Image Show
- ……
- Course in progress …
Feature Engineering
- Best 6 Methods to Handling Missing Values/Data Smartly – Data Cleaning
- One Hot Encoding & Dummy Variables | Categorical Variable Encoding
- Feature Scaling – Standardization vs Normalization
- Label Encoding vs Ordinal Encoding | Categorical Variable Encoding
Machine Learning Project
- Machine Learning Project End to End: Student Mark Prediction
- Directing Customers to Subscription Through Financial App Behavior Analysis
- Breast Cancer Detection Using Machine Learning Classifier
- House Prices Prediction Advanced Regression Techniques | Kaggle Competition
- Bangalore House Price Prediction Machine Learning Project till Deployment
Seaborn
- Python Seaborn Tutorial
- Seaborn Line Plot
- Seaborn Histogram
- Seaborn Barplot
- Seaborn Scatter Plot
- Seaborn Heatmap
- Seaborn Pairplot
- ……
- Course in progress …
Statistics for Machine Learning
Machine Learning Algorithms
- Linear Regression
- Root Mean Square Error
- Ridge and Lasso Regression
- Polynomial Linear Regression
- Support Vector Regression
- Support Vector Machine (SVM) Classification
- Decision Tree Classification
- Decision Tree Regression
- Random Forest Classification
- Random Forest Regression
- K Nearest Neighbor Classification
- K Nearest Neighbor Regression
- Naïve Bayes Classifier
- Save & Load Machine Learning Model
sir plzz upload more video
Yes
upload video about scikit learn
yes
when u upload vedio on scikit lern
Please check out new videos on the channel
Regularization, Gradient Descent, Slope
Confusion Matrix
These algorithm?
sir upload more video
sure
sir plase make videos on Skleaern
sir plz make more videos as soon as possible
Sir please video on outlier remove
sure
sir upload more and more videos…please
You are awsome
Thank you Darksider
Are you providing certification courses?
Not now
Sir where is machine learning syllabuse
Great service sir,
Sir from where i can download the excel or csv files used in videos
sir please make videos on Ensemble Learning please please
Sir please make videos on ensemble learning please sir please
yes
sir, please… upload the videos of scikit learn and scipy.
haider i am also from pakistan please contact me i want to discuss with you about some topics ……[email protected]….my email
sir I would to like take certificate from your institute.
I am from Pakistan. Can I got?
Hello sir,
Abhi tk jitne VDO bnaye sir Apne Uske liye bht bht thanks sirji…ap bht acche se explain krte ho har topics..u r god gifted sir..🙏🙏
please upload the next videos of scikit learn and scipy.
Hi sir,
I watching your machine learning videos on you tube, current I learn on pandas library.
I want to this code and csv files, so what do for it.
Thank you.
sir plz upload videos.
sir please upload more videos on ml
hii sir can u upload the z test nd t test statitical analysis
T-test and Z-test for hypothesis testing i cant do that test plz with ur basic way
Sir you are epitome of hardwork, please there is request always make it free for us, we learn from you and really u r blessing, also please make a complete video on datamining and their algortihm, like heart attack detection by machine learning and heart attack detection by data mining and how to create GUI application | website | mobile application , also if possible on IOT. you are excellent.