ML day 2
Image processing
Applications
OCR
Self driving car
Facebook tagging
google lens
Application ml
Video analysis
Data mining
Association rules
Grouping & Prediction
Anamoly detection
Text Analysis
Robotics
Humanoid robot
Serving food
Industrial robotics
Augmented reality
Image processing
Healthcare
Spam
Scrapping
Sentiment analysis
Huge salary for ML
Lesson 2 Data wrangling
Type casting
data acquistion
data exploration
Pandas
iloc
[0:3,1:2], [row, column]
loc
data.loc[56, ['First Salary', 'Gender']]
data.loc[index, ['filter1, filter2']]
pivot
Columns,index, values
pd.pivot_table(df, columns="Gender", index = 'Age', values = "First Salary", aggfunc="sum").fillna(0)
Data exploration
Dimension check
values extraction
.values()
.median()
.mode()
Questions
Correlation
Variance
First apply correlation all data set
Keep only high variance data set