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Natural Language Processing Python Course

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What will I learn?

Vhurai simba re Natural Language Processing nekosi yedu yePython yakagadzirirwa nyanzvi dze Business Intelligence. Nyurirai mukugadzirira data, nekudzidza kuchenesa magwaro, tokenization, nekubata mazwi asingabatsiri. Ongororai topic modeling neLatent Dirichlet Allocation, uye muvandudze nzwisiso yenyu ne sentiment analysis muchishandisa TextBlob ne NLTK. Ratidzai data muchishandisa Seaborn na Matplotlib, uye shandurai zvamawana kuita zvikurudziro zvebhizinesi zvinoshandisika. Simudzirai hunyanzvi hwenyu hweBI nekudzidza kunobatsira uye kwemhando yepamusoro.

Apoia's Unique Features

Online and lifetime course access
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you wish to study
Set your own course workload
Instant feedback on practical activities
Study anytime, no internet required

Develop skills

Enhance your development of the practical skills listed below

Batsirai topic modeling neLatent Dirichlet Allocation (LDA).

Chenesai neku normalisa data remagwaro ekushandisa mu NLP.

Itai exploratory data analysis muchishandisa Pandas.

Gadzirai maratidziro epamberi muchishandisa Seaborn na Matplotlib.

Shandisai sentiment analysis ne TextBlob ne NLTK.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can modify the chapters and the workload.

  • Choose which chapter to start with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.