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